Hi,
I am a
Co-Founder
Developer
Researcher
Student



RESUME

Software Developer

Link to the Resume: Here


As a software developer, I thrive on solving complex problems through automation, AI, and full-stack development. My adaptability has allowed me to work across enterprise systems, research, and startups, enabling me to deliver impactful solutions in diverse environments.

AI / ML Researcher

Link to the Resume: Here


As an AI/ML researcher, I am driven by curiosity and a passion for building real-world solutions. I adapt quickly to new models and platforms, from optimizing ADAS detection with YOLOv8 to streamlining Generative AI pipelines, ensuring impactful contributions to applied AI and machine learning.



PROFILE

Co-Founder

Co-founder of Trinite, driving innovative tech solutions to help small businesses thrive. Link to Trinite's website: Here

Developer

Developer with 3+ years of experience creating AI-driven, automated, and full-stack solutions across industries.

Researcher

AI/ML researcher with experience advancing ADAS detection, Generative AI, and large-scale deep learning models.

Student

MSc Computer Science graduate from Western University, specialized in Artificial Intelligence.

About Me

I am a MSc Computer Science graduate (Artificial Intelligence) from Western University with over 3 years of experience spanning AI/ML research, enterprise systems, and full-stack development. My journey has taken me from co-founding startups to contributing at large organizations. At London Hydro, I optimized 35+ SAP CDS Views, cutting runtimes from 30 minutes to 300 ms, and automated XML/PDF pipelines that streamlined billing validation. During my Generative AI Externship at Cognizant, I delivered 30+ GenAI projects and built Azure ML pipelines that reduced deployment time by 40%. Alongside, my research on Advanced Driver Assistance Systems (ADAS) explored YOLOv8 and RT-DETR models, training 70+ custom models and publishing a 100-page thesis. I thrive at the intersection of AI innovation, enterprise engineering, and scalable software development.

My Coding Journey

My passion for programming began in high school with Java, which sparked an early curiosity for problem-solving. In my undergrad, I expanded into C and Python through IBM’s AI/ML program, laying the foundation for my future in artificial intelligence.

As I grew my skills, I ventured into web development, mastering.........

Read More

SKILLS

Core Stack

Python 100%
Django / DRF 95%
React.js 90%
SQL (PostgreSQL/MySQL/SQLite) 95%
PyTorch 90%
Azure ML (MLOps) 85%

Languages & Tools

Python
Java
JavaScript
R
C
Bash
Git / GitHub
Linux
HTML
CSS
LaTeX

Frameworks & Libraries

Flask
TensorFlow
Pandas
NumPy
Django
Django REST Framework
React.js

Specialized Expertise

SAP S/4HANA (CDS Views)
MLOps pipelines
API Development
Process Automation
Computer Vision (ADAS)
Generative AI (LLM workflows)
Automation Anywhere
Alteryx

EDUCATION

Hiranandani Foundation School, Thane

ICSE 10th  -  2017
93.4% (Best of five: 94%)

Shubhamraje Junior College, Thane

HSC 12th  -  2019
81.54%

Joint Entrance Examination (Main)

2019
National Level engineering entrance assessment test.
Score: 96.93 percentile

Maharashtra Common Entrance Test (MHT-CET)

2019
State Level engineering entrance assessment test.
Score: 98.78 percentile

Dwarkadas J. Sanghvi College of Engineering (Affiliated to Mumbai University)

2019 - 2023
B.Tech - Computer Engineering
Pointer: 9.58/10 (or 89.92%)

IBM & Dwarkadas J. Sanghvi College of Engineering


2019 - 2023
Minor Specialization - Artificial Intelligence and Machine Learning
Pointer: 9.32/10 (or 87.01%)

IIT Madras


2022 - 2023
Advanced Certification in Data Science and Artificial Intelligence

University of Western Ontario

2023 - 2025
M.Sc - Computer Science (Artificial Intelligence)
GPA: 4.00/4.00 (or 94.5%)




PROFICIENCY AND APTITUDE TESTS

Graduate Record Examinations (GRE) - General

11th November, 2021
Score: 319/340
---- Quantitative: 168/170
---- Verbal: 151/170
---- AWA: 4/6



Canadian English Language Proficiency Index Program (CELPIP) - General

13th February, 2025
Average: 11
---- Listening: 11
---- Reading: 11
---- Writing: 11
---- Speaking: 9

EXPERIENCE

London Hydro

Utility Information Technology Intern
01st May 2025 - 31st Aug 2025



At London Hydro, I worked across SAP S/4HANA and internal automation. I built 35+ SAP CDS Views (vendor scope 14) and optimized critical reports from ~30 minutes to ~300 ms by converting legacy SQL and aligning mappings with business/technical teams. On the QA side, I reduced OCM defect tickets from 256 to 0 by standardizing 50+ guides and improving UAT tracking (100+ JIRA tickets). I also automated XML/PDF pipelines (Python, Flask, Spring Boot): bulk validation of 24+ Green Button files, SOAP-based bill fetching, and 4-way invoice consistency checks integrated with WatchDog—accelerating billing validation and enterprise reporting.

Cognizant

Externship Generative AI Extern
01st Jan 2025 - 31st Mar 2025

Certificate

During a Generative AI externship, I delivered 33+ real-world GenAI projects spanning prompt engineering, retrieval, and LLM fine-tuning. I streamlined deployment on Azure ML with MLOps pipelines that cut time-to-production by ~40%, and standardized evaluation/monitoring for reliability. Work included building production-ready LLM workflows (chat, summarization, classification), integrating vector search, and optimizing inference cost/latency. I earned the Cognizant GenAI Digital Badge for demonstrating proficiency in enterprise-scale GenAI solutions.

University of Western Ontario

University Graduate Research Assistant and Graduate Teaching Assistant
01st Sep 2023 - Present



As a Graduate Teaching Assistant for CS1026 and CS1027 at Western University, I taught core computing in Python and Java, led weekly labs and office hours, and pre-tested assignments to ensure clarity and correctness. In parallel, as a Graduate Research Assistant in applied computer vision, I investigated real-time object detection for ADAS, comparing YOLOv8 and RT-DETR. I trained and evaluated 35 custom models with PyTorch on Compute Canada GPUs/Google Colab, analyzing inference speed and accuracy; this work showed that YOLOv8 outperforms RT-DETR in ADAS settings and culminated in a 100+ page thesis and a comprehensive paper. This dual role strengthened my teaching, research, and communication skills—bridging rigorous ML experimentation with clear, student-focused explanations.

Kwoda

Start-up Software Engineer Intern
01st Sep 2023 - 01st Jul 2024
Website Link
Certificate

As a Software Engineer Intern at Kwoda, I built a multi-company HR platform with Django/DRF and React on MySQL, streamlining onboarding and performance workflows for 100+ employees across 3 companies. I engineered a verified digital-resume system that generates tamper-proof records from manager-approved data and added QR-based instant verification, driving 100% adoption and strengthening employer trust. I designed REST APIs, implemented approval pipelines, and optimized database queries to ensure reliable, low-latency operations. The result was faster HR cycles, greater transparency, and a scalable foundation for future modules.

Trinite

Start-up Co-founder and Full-Stack Developer
15th Jun 2021 - 01st Sep 2023
Website Link
Certificate

As Co-Founder & Full-Stack Developer at Trinite, I delivered custom web solutions for 5+ small businesses, focusing on scalable builds and measurable growth. A highlight was Knickgasm—an e-commerce platform built end-to-end with Django/DRF, React, and MySQL, featuring secure checkout via Razorpay, user auth, cart, and wishlist. Through rigorous unit/functional testing, the site achieved 100% reliability and processed 600+ transactions post-launch, contributing to 15+ celebrity collaborations and a Shark Tank India pitch. I owned backend APIs, database design, and CI with Git, ensuring performant, maintainable releases that helped clients strengthen their online presence and operations.

Threco (The Recycling Company)

Internship Software Developer Intern
01st Jun 2021 - 17th Aug 2021
Website Link
Certificate

As a Software Developer Intern at THRECO, I engineered dual portals (B2B & B2C) for waste management that enabled real-time transaction tracking, location visibility, and automated certificate generation for 60+ businesses and 100+ residential societies. I designed Django/DRF APIs with React front-ends and SQLite, implemented workflow automations that eliminated manual steps and improved data accuracy, and delivered features that increased transparency and reduced turnaround time. The result was a scalable platform that streamlined operations and boosted client satisfaction while supporting THRECO’s sustainability mission.

DJ ACM

Student Committee Full-Stack Developer Intern
01st Sep 2020 - 01st Jun 2021
Website Link
Certificate




As a Full-Stack Developer Intern at DJ ACM (ACM student chapter), I built a mobile-friendly site to boost engagement and automate event workflows. I delivered dynamic pages for event showcases, chapter history, and member highlights that increased user engagement by ~35%. I integrated Razorpay for seamless online registrations and payments, facilitating collections of INR 15,000+ for flagship events (e.g., “Lines of Code,” “Internship Fair”) and significantly reducing manual effort. The stack included Python, Django, HTML/CSS/JavaScript with Bootstrap for responsiveness and Git for version control—delivering a robust, user-friendly platform that streamlined operations for organizers and participants.

DJ UNICODE

Student Community Full-Stack Developer Mentee
01st Sep 2020 - 15th Aug 2021
Backend Django Mentor
16th Aug 2021 - 18th Jul 2022
BE Mentor - Treasurer
19th Jul 2022 - 01st Jul 2023
Website Link
Certificate

As a Full-Stack Developer Mentee (Aug 2020 – Jul 2021), I built 6 client web apps, contributing across Django/DRF backends and React, HTML, CSS, JavaScript frontends. I shipped features end-to-end (APIs, DB models, UI) and learned to deliver scalable, responsive solutions through close collaboration and code reviews.

Promoted to Backend Developer Mentor (Jul 2021 – Jul 2022), I led teams on 3 projects—including a JAAV charity site that increased donations by ~30% and a Student Portal reaching ~70% active engagement. I designed and deployed REST APIs, guided debugging/testing, and mentored juniors in Django/DRF and API design to production standards.

As Treasurer & Mentor (Jul 2022 – Jul 2023), I managed finances and ops, implementing cost controls with Excel/Google Sheets that reduced organizational spend by ~15%. I coached members on project execution and budgeting, and streamlined cross-team collaboration using Slack, strengthening the chapter’s long-term sustainability.

Phemesoft

Internship Backend Developer
18th Jul 2022 - 12th Sep 2022
Website Link
Certificate

As a Backend Python Developer at Phemesoft, I enhanced the Virtual Workspace collaboration platform by designing and shipping Django REST Framework APIs, optimizing PostgreSQL queries/indexes, and refactoring backend services for reliability and speed. These improvements increased platform efficiency by ~20%, reduced response times, and stabilized data flows. I collaborated via Git-based workflows, implemented clean API contracts for seamless front-end integration, and strengthened observability to ensure a responsive, high-performing experience for users.

JPMorgan Chase & Co

Technology Analyst Intern - Industry Skills Development Program Student
11th Oct 2020 - 25th Sep 2021

Certificate

As a participant in JPMorgan Chase & Co.’s Industry Skills Development Program (Technology Analyst track), I built automation and analytics prototypes using Automation Anywhere (RPA) and Alteryx. I designed bots to replace multi-step manual tasks (data entry, reconciliations) and created ETL pipelines that cleaned, joined, and validated datasets for reporting, strengthening decisions with reliable data. I also practiced bank-grade SDLC—Git-based workflows, documentation, and reviews—and tuned SQL queries for faster reporting. The program sharpened my foundations in process automation and data engineering, preparing me for enterprise-scale, accuracy-critical environments.

PROJECTS

List of 23 important projects undertaken. Click on them to learn more

  • All
  • Company
  • E-commerce
  • Descriptive
  • Community
  • Machine-Learning
  • Java
  • Deep-Learning
  • Cybersecurity
Trinite Website

Trinite Website

Company, Descriptive

Knickgasm E-commerce

Knickgasm E-commerce

Company, E-commerce

Technofocus

Technofocus

Descriptive

JAAV Website

JAAV Website

Company, Descriptive, Community

DJ ACM Website

DJ ACM Website

Company, Descriptive, Community

Attendance using ML

Attendance using ML

Machine-Learning, Deep-Learning

DJ Events

DJ Events

Descriptive, Community

Student Portal

Student Portal

Community

NconNect

NconNect

Descriptive, Community

Traffic Sign Classifier

Traffic Sign Classifier

Machine-Learning

Stress Detector Application

Stress Detector Application

Machine-Learning

Hughes Holidays Website

Hughes Holidays Website

Company, Descriptive

SND Logistics Website

SND Logistics Website

Company, Descriptive

World22 Logistics Website

World22 Logistics Website

Company, Descriptive

Tritech Solutions Website

Tritech Solutions Website

Company, Descriptive

DJ ICACTA Website

DJ ICACTA Website

Descriptive, Community

Selective Encryption

Selective Encryption

Machine-Learning, Deep-Learning, Cybersecurity

Kwoda HR Portal

Kwoda HR Portal

Company

VisionForge (Stable Diffusion 1.5)

VisionForge (Stable Diffusion 1.5)

Machine-Learning, Deep-Learning

Vehicle Specific Detection

Vehicle Specific Detection

Machine-Learning, Deep-Learning

RESEARCH

Real-Time Performance Dynamics in ADAS: YOLOv8 vs RT-DETR

Co-Authors: Dr. Michael Bauer
Conducted a comparative study of YOLOv8 and RT-DETR for real-time ADAS detection, training and evaluating 35+ models on BDD100K and custom datasets. Benchmarked mAP, F1, and inference time; results showed YOLOv8 achieved faster latency and higher accuracy, handling class imbalance more robustly. These findings guide model selection for production-grade ADAS where milliseconds and precision matter.

Comparison of Tabular Synthetic Data Generation Techniques using Propensity and Cluster Log Metric

Co-Authors: Dr. Ramchandra Mangrulkar, Dr. Aruna Gawde, Mr. Aryan Pathare, Mr. Kartik Suvarna
Compared tabular synthetic data generators across multiple datasets, evaluating utility with Propensity Score and Cluster-Log metrics. Benchmarks quantify realism and structure preservation, outlining method-specific strengths. Manuscript submitted to the International Journal of Information Management Data Insights and currently under review.

Multilayer combined symmetric and asymmetric approach for audio and video cryptography

Co-Authors: Dr. Ramchandra Mangrulkar, Mr. Mayav Antani, Mr. Kartik Suvarna
Developed a multi-layer cryptography scheme combining symmetric and asymmetric techniques, deriving multiple session keys from a single private key. The method encrypts both audio and video streams in audiovisual files while remaining user-friendly and secure. The paper is in final edits and will be submitted for publication soon.

Real Time Multimedia Encryption

Co-Authors: Dr. Narendra Shekhokar, Mr. Mayav Antani
Designed a low-latency real-time multimedia encryption method for concurrent audio and video streams, targeting higher throughput and lower latency than baseline schemes. Proposes a lightweight cipher pipeline with efficient key management to maintain strong security under streaming constraints; currently in planning/prototype stage as a capstone project.

Stress Detection using Twitter Analysis and PSS

Co-Authors: Prof. Khushali Deulkar, Mr. Kartik Suvarna, Mr. Mayav Antani, Miss Karishni Mehta
Built an NLP pipeline to score user stress (1–5) from Twitter posts using text preprocessing, feature extraction (TF-IDF/embeddings), and supervised ML classifiers. Benchmarked models (e.g., Logistic Regression, SVM, Random Forest) and selected the best performer; validated predictions against the Perceived Stress Scale (PSS) to ensure alignment and robustness.

Comparison study and complexity analysis of different methods for Maximizing flow in a network using Ford Fulkerson

Co-Authors: Prof. Sudhir Bagul, Mr. Kartik Suvarna, Mr. Mayav Antani
Comparative analysis of augmenting-path strategies in Ford–Fulkerson: Edmonds–Karp (BFS), DFS-based, and a basic/greedy variant. We derive and validate complexity bounds (e.g., O(VE²) for Edmonds–Karp) and benchmark on synthetic graphs; results show Edmonds–Karp offers more predictable convergence/scalability, while DFS has higher variance and worst-case stalls—informing algorithm choice for maximum flow.

COMMUNITY SERVICE

Parvatibai Pratishthan

2019 – 2022

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Volunteered as a math tutor for underprivileged students in Grades 8–9, continuing lessons online throughout the COVID-19 lockdowns to prevent learning loss. Also coordinated travel assistance by arranging private buses with municipal authorities, helping families return safely to their hometowns when public transport was suspended.


JAAV Website

2021 – Present

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Built and maintain a mobile-friendly donation website for Janta Adarsh Andh Vidyalaya (JAAV), a school for blind/visually impaired children from low-income families. The site offers multiple giving paths—direct donations or funding specific needs (medical care, tuition, uniforms, recreational and educational expenses)—plus a “sponsor a child for a year” option. We also added clear background pages about JAAV to build trust and encourage sustained support.


Threco: E-Waste Drive

October 2nd, 2021

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Organized community e-waste drives across housing societies, coordinating pickups with certified recyclers to ensure safe, compliant disposal. Helped sort and transport devices (phones, batteries, small appliances) and raised awareness about responsible recycling to keep hazardous materials out of landfills.


Threco: Waste Management and Recycling Initiative

September 10th, 2021 & September 17th, 2021

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Participated in community beach clean-ups on September 10 and September 17, ensuring proper on-site segregation—directing wet waste for safe disposal and routing plastic waste to recycling. Helped coordinate volunteers and maintain clean, safe shorelines.

Blood Donation Camp (Mahatma Gandhi Seva Mandir)

February 10th, 2020

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Organized and co-led a campus blood donation drive with Mahatma Gandhi Seva Mandir, managing outreach, registrations, and on-site coordination—while also donating blood personally. The initiative achieved strong participation and successful, safe collections.


CONTACT

Location

London, Ontario, Canada - N6H 0E4

Call

+1 519-694-7072