University of Waterloo (Sep 2025 – Present). Bachelor of Computer Science (Honours, Co-Op), Waterloo, ON, CA

AI & ML: Python, LangChain, LangGraph, RAG, OpenAI API, TensorFlow, Transformers (HuggingFace), FAISS, scikit-learn, Pandas, NumPy, Pydantic.

Backend & Databases: FastAPI, Flask, Node.js, PostgreSQL (asyncpg, pgvector), SQLite, REST APIs, SSE, asyncio.

DevOps & Cloud: AWS, Git, CI/CD, Docker, GitHub Actions, Bash, Linux.

Frontend: React, Angular, TypeScript, JavaScript, Tailwind CSS, HTML, CSS, Chart.js.

Languages: Python, JavaScript, TypeScript, Java, C, C#.

AI Engineer Co-op (May 2026 – Present). Decimal Technologies, Delhi, India

Co-Founder and Event Director (Apr 2021 – Apr 2025). SHISTECH, Delhi, India. Co-founded and scaled a technical organization to 50+ members, building all internal software tools, automation systems, and data pipelines from scratch to support a 6,000+ participant annual event Designed and shipped a full-stack cryptic hunt platform using Node.js, EJS, and vanilla JavaScript, sustaining 100+ concurrent users across a live competitive event with zero downtime Drove end-to-end technical ownership across software, data, and operations infrastructure for four years - building, iterating, and maintaining systems with real users and real stakes

The Originality Engine | Python, NLP, Transformers, FAISS, Pandas, NumPy (Feb 2025). Built a research-grade ETL and ML pipeline to ingest, embed, and score arXiv abstracts using transformer sentence models and FAISS nearest-neighbour indexing Designed a modular, script-driven architecture with clearly separated ingestion, transformation, indexing, and scoring stages; evaluated outputs against ground-truth similarity metrics

Grounded | JavaScript, Gemini 2.5 Flash, ElevenLabs, face-api.js, Web Audio API (Mar 2026). Shipped a real-time multi-service AI pipeline at Hack Canada 2026: webcam input, ML-based stress detection, LLM response generation, and TTS voice output, orchestrated end-to-end in under 24 hours Engineered async coordination across three external APIs (Gemini, ElevenLabs, face-api.js) with concurrency guards, fallback logic, and graceful error recovery that held up reliably through a live demo

Disease Detection | Python, TensorFlow, Flask, Pandas, scikit-learn, Raspberry Pi (Aug 2023). Trained a dual-mode TensorFlow diagnostic model applying image preprocessing, normalization, augmentation, and iterative hyperparameter tuning to improve generalization across test sets Deployed the model end-to-end on Raspberry Pi via a Flask API, implementing confidence thresholding, structured JSON responses, and full inference pipeline management for real-time portable use

National Winner - IIT Delhi Youth Ideathon (2024). Placed first nationally at the Indian Institute of Technology Delhi's Youth Ideathon, competing against university teams across India in a technology and innovation challenge.