About Me
Software Developer and AI Researcher with 3+ years of experience at GEP, Siemens Canada, and UNB, with experience in Software Development, Generative AI, AI agents, RAG, and LLM integration with enterprise systems. Earned a Master’s in Computer Science with a perfect 4.3 GPA
Experience
Graduate Research Assistant
University of New Brunswick, Fredericton, Canada
- Used Python and Google’s Tesseract OCR engine to extract and curate datasets from MIT OpenCourseWare PDFs for training language models.
- Applied prompt engineering and fine-tuning techniques to evaluate LLMs (e.g., GPT-4o, Gemini) and benchmark performance
AI and Cybersecurity Research Intern
Seimens, Fredericton, Canada
- Conducted R&D on language models (OpenAI GPT-4o, LLAMA, Mistral), including prompt engineering and fine-tuning custom models for cybersecurity applications
- Built and deployed a chat-based web application implementing Retrieval-Augmented Generation (RAG) with LangChain, using a React.js front-end and Flask API back-end, hosted on Microsoft Azure
- Achieved the highest possible rating of 'Outstanding' in employer evaluations for both co-op terms
Software Engineer
GEP Worldwide, Mumbai, India
- Delivered enterprise-grade software solutions for clients including Bank of America, Roche, Dupont, and Lenovo, supporting high-availability systems in regulated industries
- Built and deployed full stack web applications (AngularJS, ReactJs, C#, .NET Framework, MySQL, MongoDB) with RESTful microservices, reducing system integration time by ~20%
- Optimized databases with millions of records, improving query performance and cutting data retrieval time by up to 40%
- Implemented authentication and authorization workflows (SSO and non-SSO) with Azure Active Directory, strengthening security and role-based access across applications
- Achieved WCAG 2.1 compliance for client-facing applications by ensuring full keyboard operability and screen reader compatibility, improving accessibility for 10,000+ users.
- Containerized applications with Docker and orchestrated deployments with Kubernetes, ensuring scalable and reliable delivery in Azure Cloud environments
- Automated build, test, and deployment workflows with Azure DevOps CI/CD, reducing manual release effort by ~70% and increasing deployment reliability
Education
Masters in Computer Science
University of New Brunswick
- Graduated with a perfect GPA of 4.3/4.3
- Course List: Software Requirement Analysis, Natural Language Processing, Applied Graph Algorithmics, Artificial Intelligence, Machine Learning and Data Mining, Software and Network Security
Bachelor of Engineering, Computer Science
Mepco Schlenk Engineering College
- Top 5% National Level Topper For ’Problem Solving Through Programming In C’ course conducted by Indian Institute of Technology (IIT)
- Academic Excellence Scholarship Award for the academic year 2017 and 2020
- Finalist – Best Capstone Project Award, Bachelor’s Degree
Projects
Hypernym Generation using generative LLM
Applied advanced natural language processing techniques, leveraging AI models such as XLNet and employing deep learning algorithms to tackle the SemEval-2018 Task 9 Hypernym Discovery
Retinal Vessel and Foveal Avascular Zone Segmentation Of 3D Images Using Deep Learning Techniques
A Neural Network built using Pytorch that converts the 3D images into 2D projection maps to help doctors visualize the retinal vessel of the retina. The segmented 2D image helps doctors easily visualize the density and diagnose the health of the retinal vessel.This project advanced to the final round for the best project during my undergraduate final year
Vehicle Detection Using Densenet
An application built using Python and Deep learning frameworks like TensorFlow and Keras that detects from an input video and adds bounding boxes over detected vehicles
Certificates
Transcript
Oracle Cloud Foundations
Oracle Cloud AI Foundations
Cybersecurity CC Course ISC 2024
Fundatmentals of OT Cybersecurity (ICS/SCADA)
Problem Solving through Programming in C - IIT Madras - TOP 5% National Level
Programming, Data Structures and Algorithms using Python - IIT Madras
Angular - HackerRank
C - HackerRank
Python - HackerRank
Rest API - HackerRank
SQL - HackerRank
IEC 61850 Digital Substation Basics
Technology Stack
Backend
- > Node.js
- > ExpressJS
- > ASP.NET Core
- > ASP.NET MVC
- > Spring Boot
- > Django
- > Flask
- > WPF
- > UWP
Frontend
- > ReactJs
- > AngularJS
- > jQuery
- > Bootstrap
Programming Languages
- > Python
- > C
- > C++
- > C#
- > Java
- > JavaScript
- > PHP
- > HTML
- > CSS
- > TypeScript
DevOps & Cloud
- > Microsoft Azure
- > Azure AI Foundry
- > Oracle Cloud (OCI)
- > Docker
- > Kubernetes
- > ELK Stack
- > CI/CD Pipelines
Databases
- > MongoDB
- > MySQL
- > MS SQL
- > NoSQL
- > PostgreSQL
- > CassandraDB
- > Neo4j
AI/ML & Deep Learning
- > TensorFlow
- > PyTorch
- > Keras
- > scikit-learn
- > NumPy
- > pandas
- > Matplotlib
Others
- > Git version control
- > Agile Development
- > REST APIs
- > Web Development
- > Quality Assurance (QA)
- > Unit Testing
- > Pub/Sub Architecture
- > New Relic