About Me
AI/ML engineer who takes ideas all the way to working products
I'm an AI/ML engineer who likes owning the whole problem: the model, the backend around it, the interface people use, and getting it deployed. My most recent build is BrewHub, a voice AI receptionist. It turns live speech into text with Whisper, runs the conversation through GPT-4o-mini with a finite-state machine that makes sure no booking detail is missed, replies with synthesized speech and emails a confirmation. It runs on FastAPI on Google Cloud Run.
I studied Computer Science (B.E.) at Chandigarh University alongside an AI/ML Major at IIT Ropar, covering machine learning, deep learning, NLP and computer vision. I'm also a co-author of a peer-reviewed paper on security vulnerabilities in facial recognition systems, published in AIP Conference Proceedings (2025).
I'm now looking for a full-time AI/ML Engineer or LLM Engineer role where I can ship production AI features — agents, retrieval, evaluation and the backend that keeps them reliable.
Experience
2025 — Present
AI/ML Engineer — Independent Projects
Self-directed
- Built and deployed BrewHub, a voice AI receptionist: Whisper STT, GPT-4o-mini dialogue with FSM-based slot filling, ElevenLabs/gTTS speech, booking validation and HTML email confirmations. FastAPI backend on GCP Cloud Run with a React frontend.
- Built a compliant data-extraction pipeline on the official Apollo.io APIs. It tries paid enrichment first, falls back to search automatically, tracks credit usage and outputs clean CSV.
- Built a resume-to-job recommender that unifies and de-duplicates job datasets from three countries, extracts skills with a custom taxonomy and ranks roles by vector similarity.
Jan 2026 — Present
STEM Educator, Robotics (Part-Time)
BrightChamps
Teach robotics and programming through hands-on, project-based builds — a lot of practice explaining technical ideas clearly to people new to them.
Education
B.E. in Computer Science & Engineering
Chandigarh University
CGPA: 7.24
Software engineering, algorithms and data structures
Major in AI/ML
IIT Ropar
CGPA: 7.0
Machine learning, deep learning, NLP and computer vision
Research Publication
An Overview of Vulnerabilities and Mitigation Strategies in Facial Recognition Systems
U. Garg, A. Rani, A. K. Jaiswal · AIP Conference Proceedings 3283, 020014 (2025) · ICAPAM
Reviews adversarial attacks, spoofing, data poisoning and bias in face recognition, along with defences such as liveness detection, adversarial training and privacy-preserving techniques.
DOI: 10.1063/5.0262020Leadership & Activities
CodeChef University Coordinator
Led the campus competitive-programming community
Class Representative
2021 — 2024 · Chandigarh University
2nd Place — Discus Throw
CU Athletic Meet 2023