Candidate ranking engine that scores 100,000 resumes against a job description in 34 seconds on CPU.
Full-stack and systems: Next.js and FastAPI in production, a Rust kernel from bare metal, and the exam scheduler my institute runs on. Shipped as CTO at a startup.
Agents that plan, call tools and finish the job, with the retrieval and fine-tuning underneath. shipd.ai and the Amazon ML Challenge on the side.
I build software that keeps working when real people use it.
100K resumes ranked in 34 s on a CPU (Veridex). A bare-metal x86_64 kernel in Rust with a 269-cycle context switch (BEDROCK). The exam scheduler Thapar runs on, live at exams.thapar.edu (Datesheet).
Now: AI Research Intern at COE-UQ, TIET. B.E. Computer Engineering, Thapar, class of 2027.
- Education
- Thapar, B.E. Computer Engineering, CGPA 8.31
- Leadership
- Microsoft Learn Student Chapter, coordinator
- Off the clock
- Won Robowars at Saturnalia, Thapar's tech fest.
Selected work
All 10 projectsA no_std x86_64 operating system written from scratch in Rust: no Linux underneath, no libc, just a bootloader and hardware.
Gives AI coding agents persistent memory across sessions via the Model Context Protocol.
Chrome extension that turns your browsing into a personal knowledge base.
The system Thapar Institute uses to run its exams, live at exams.thapar.edu: a graph-colouring scheduler that places every course in a clash-free slot, then seats every student, assigns every invigilator, and prints the reports.
Measured, traced, shipped. If it can't be evaluated, it isn't done.
Agents that finish tasks
Multi-step agents with deterministic services underneath, so every action can be traced back. Priora runs six agents that plan, simulate, and execute a rescue plan across your calendar and inbox.
Search that cites its sources
Hybrid retrieval with evidence attached to every answer. Veridex scores 100K resumes in 34 seconds and traces each score to the record fields behind it.
Models trained and shipped
Fine-tuning, alignment, and on-device inference, not just API calls. A QLoRA + RLHF safety layer for a mental-health chatbot, and KONTA's ML running fully in the browser.
Software end to end
Frontend, API, database, deploy, and the layers underneath when it matters: a bare-metal Rust kernel with a 269-cycle context switch, and the exam scheduler my institute runs on, 3x faster.
Where I've worked
and shipped.
Led a 5-person team to ship a fitness platform with real-time form checking from the camera.
- Led a 5-member team building a fitness platform with three modules: the web platform, LangChain-based nutrition and diet recommendations, and AI workout form tracking. Contributed hands-on across all three.
- Users had no way to check gym form at home, so we used Google's MediaPipe to track body landmarks from the camera and check exercise form in real time.
Built the exam datesheet generator the institute runs on; 3x faster across 400+ constraints.
- Made the institute's exam datesheet generator: a multithreaded scheduler (Flask + MySQL) that cut end-to-end generation time 3x under high constraint density.
- Wrote its constraint solver, which handles 400+ variables (subjects, rooms, faculty) with real-time conflict detection and automated resolution.
Fine-tuned a quantized LLaMA with QLoRA and RLHF as the safety layer of a mental-health chatbot; tested against 50+ adversarial prompts.
- Built a multi-agent safety pipeline for mental health chatbots: emotion, sentiment, and safety modules analyze each input independently, then a deterministic aggregator decides the final response. Tested it against 50+ adversarial prompts for edge cases.
- Fine-tuned a quantized LLaMA with QLoRA and RLHF for safety alignment, layered behind toxicity filters and fallback rules so no single model failure reaches the user.
Recognition
Pediatric Epilepsy Research Symposium
Won 1st place in the Clinical/Engineering category for the oral and poster presentation at 'Advances in Pediatric Epilepsy: From Bench to Bedside', organized by the Pediatric Neurology Unit at PGIMER Chandigarh and the Academy of Pediatric Neurology (AOPN). Presented as part of the Proton BioSystems Lab team (TIET) under Dr. Harpreet Singh.
Samsung PRISM Web Agent Hackathon
Won Samsung's PRISM Web Agent hackathon with KONTA, a Chrome extension that organizes browsing into a searchable knowledge graph using on-device semantic embeddings and Louvain community detection (NDCG@5: 0.91).
Amazon ML Challenge 2025 and 2026
Finished in the top 200 teams nationwide in both the 2025 and 2026 editions of Amazon's flagship machine learning competition.
Robowars, Saturnalia
Won the Robowars competition at Saturnalia, Thapar Institute of Engineering and Technology.
The tools behind
the systems.
Hover a row to pause.
Commit history
in the last year.
Have something real
to build? Let's talk.
Open to internships, research collaborations, and interesting side projects. I reply within a day.
sanyamwadhwa.in@gmail.com