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I am an AI/ML Engineer with over 7 years of experience in creating and implementing scalable machine learning solutions. My expertise spans across computer visi
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AutoDesk
Data Scientist
June 25, 2026 – Present
pdf_parser
March 28, 2026 – Present
This repository consists of code which is used to parse research papers in pdf format and give the results back to llm
View Projectfederated-graphql-python
September 12, 2025 – September 13, 2025
A demo project showcasing GraphQL Federation in Python using Strawberry, FastAPI, and Apollo Router. Includes Users, Products, and Reviews microservices with basic JWT authorization.
View Projectdsa_python
August 31, 2025 – Present
This repository consists of my solutions to different leetcode problems
View Projectmixture_of_experts
August 30, 2025 – September 9, 2025
This repository contains clean, modular implementations of different Mixture-of-Experts (MoE) architectures, including Switch Transformer-style MoE and beyond. The goal is to provide reference code for experimenting with scalable expert-based models in PyTorch.
View Projectgolang_experiments
July 29, 2025 – July 30, 2025
A personal repository for exploring and experimenting with Go — including language features, standard library usage, tooling, patterns, and small projects. This is my sandbox for learning and testing ideas in Go.
View Projectgo_concurrency
July 29, 2025 – July 29, 2025
This is beginner friendly Go application that demonstrates concurrent programming using goroutines and channels. Users can submit multiple jobs concurrently and see how different workers handles them.
View Projectmcp_in_golang
July 24, 2025 – July 28, 2025
An implementation of the Model Context Protocol (MCP) in Go — a lightweight, extensible server designed for managing and serving context-aware models in distributed systems.
View Projectllm_finetuning
July 17, 2025 – July 27, 2025
This repository offers concise code for LLM fine-tuning to efficiently adapt pre-trained models. It covers key LLM fine-tuning techniques including LoRA and QLoRA and other PEFT methods for adapting LLMs by training a subset of parameters, and full fine-tuning for maximum performance.
View Projectmcp-gitHub-agent
July 13, 2025 – July 14, 2025
Lang graph based AI agent using MCP server to query github repository
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong initiative and self-learning drive, exploring diverse technologies like Python, Go, and various AI/ML concepts. This indicates a proactive and curious mindset. However, the projects are predominantly personal, and there is only one listed professional experience as a Data Scientist at AutoDesk, which is marked as current with a future start date, suggesting limited real-world team collaboration experience in a professional setting. The breadth of skills is good, but the depth of application in a team context is not evident.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insight into collaboration or problem-solving approaches.