PORTFOLIO BOOT SEQUENCE
Full-Stack Developer & AI Engineer building intelligent applications with Machine Learning, Deep Learning, and NLP — and shipping games and interactive systems in Unity/C#. Hands-on with AI model evaluation, RLHF, and multimodal output assessment. Always learning by building projects from scratch and understanding the underlying algorithms.
Interactive CLI shell to quickly navigate projects, skills, and experience.
WHY HIRE ME
A few reasons founders and recruiters keep this profile shortlisted.
Delivered 3 client-facing products in a single 5-month engagement — owning requirements, architecture, development, QA and deployment.
Works daily with RLHF, grounding and chain-of-thought verification, maintaining 80–90%+ annotation accuracy on large-scale datasets.
Comfortable across the stack — RESTful APIs in Java and Python, role-based access systems, and real-time dashboard analytics.
Also ships interactive systems — two Unity/C# applications built and optimized from concept to deployment.
FEATURED WORK
Selected builds — more on GitHub.
An AI IT support assistant that answers from private company documents first and falls back to the web only when the internal evidence is weak. A LangGraph workflow routes the question, grades the retrieved evidence, rewrites and retries, then returns a grounded answer with sources and a live agent trace. Admins can upload PDF, TXT, Markdown or DOCX files to index them into the knowledge base.
A real-time AI gym coach that uses your webcam to detect body pose, count reps, and give live voice feedback on your form. Tracks workout history per user and ships with a dedicated landing page.
An AI blog writing agent that turns a topic into a researched, structured, publish-ready article. A LangGraph workflow plans the outline, researches the web, drafts each section, and generates matching cover images with Gemini. Every post is saved to a local library, so you can revisit, edit and publish from a clean dark-themed Streamlit interface.
A supervised learning model that predicts loan approval outcomes, built with Scikit-Learn and Pandas.
WORK LOG
Production engineering roles, full-stack development, and AI implementations.
Evaluating AI-generated images and multimodal outputs for prompt relevance, visual accuracy and quality guidelines.
Delivered 3 client-facing software products end-to-end across a 5-month engagement — a Task Management System, a puzzle game, and the TactIQXO project.
Completed a structured 6-month training program spanning frontend, backend, and cross-stack development, culminating in a full-stack capstone application.
EDUCATION
Academic foundation, coursework, and technical accomplishments.
ACHIEVEMENTS
Sustained high-accuracy AI evaluation and grounding work across large-scale datasets.
Owned requirements through deployment for a task manager, a puzzle game, and TactIQXO — in one 5-month engagement.
Root-caused and resolved data integrity issues in the Total Time Pay system via SQL-based debugging.
Solved 200+ coding problems on LeetCode, strengthening data structures, algorithms, problem-solving, and coding interview skills.
TECH STACK
Languages, frameworks and tools used day to day.
CONTACT
Direct channels to connect for roles, technical projects, or inquiries.