SRMIST · KATTANKULATHUR · 2025–2029
Anchit
Lahkar
Building systems that model reality, secure information,
and reconstruct the world from first principles.

SRMIST · B.TECH CSE · 2025
CGPA
9.8
/ 10.0
About
A curious builder exploring complex systems
CS undergraduate at SRMIST researching quantum machine learning. I've shipped a top-2% Google Prompt Wars platform, post-quantum crypto tools, photogrammetry pipelines, and production websites — not because I've found my niche, but because I haven't stopped being curious.
LANGUAGES
RESEARCH AREAS
FRAMEWORKS
CURRENTLY LEARNING
Research Domains
Four territories, one mind.
01
Quantum Systems
Quantum-inspired optimization, protein folding across 10³⁰⁰ conformations, Qiskit circuit simulation, molecular energy landscapes.
02
Post-Quantum Cryptography
ML-KEM, Kyber768, NTRU Prime, lattice-based algorithms. NIST-standardized key exchange. Protecting data against harvest-now-decrypt-later.
03
Computer Vision
Photogrammetry pipelines, 3D reconstruction, adaptive frame selection, CNN training across architectures, OpenCV preprocessing.
04
Full-Stack Systems
Production web applications, real-time sync, REST + WebSocket APIs, React/Next.js front-ends. CI/CD to Vercel.
Work
Projects
Seven shipped systems, two in build. Browse the corridor at your own pace — or skip ahead.
PROJECT 001 / 009
CarbonSense
AI-Powered Carbon Footprint Platform
A carbon intelligence cockpit built for Google Prompt Wars 2026, where it ranked #727 of 35,548 entries. TERRA, a Gemini-powered coach, sits on top of a 3D Planet Twin rendered in React Three Fiber, receipt OCR, and an optimization engine that finds up to 40% emission-reduction pathways.
The carbon math is deterministic TypeScript spread across 7 packages with 258 passing unit tests — AI is deliberately confined to reasoning and OCR, never calculations. Supabase handles auth with JWT and row-level security.
01 / 09 · SWIPE OR ← →
Science
Research
Can a shallow quantum circuit match a Random Forest?
Jan 2026 – Present · SRMIST — Dept. of Computing Technologies · SUPERVISOR: DR. MANJU A
I'm building a binary classifier for forest-fire detection with Variational Quantum Circuits in PennyLane, benchmarked head-to-head against Logistic Regression and Random Forest baselines on environmental sensor data. The current focus is encoding — comparing amplitude and angle encoding to see how each shapes expressibility and generalization on tabular datasets.
Quantum Machine Learning · Variational Quantum Circuits · PennyLane · Benchmarking
VIEW RESUME ↗Rank #727 / 35,548 — Top 2%
Google Prompt Wars 2026Placed in the top 2% of a global AI code competition with CarbonSense, judged on code quality, Gemini API integration depth, and product completeness.
ICPC High Honor
Chennai Multi-Provincial ContestCompeted as part of a 3-member SRMIST team, solving problems in graph theory, optimization, and data structures inside a 5-hour window.
Top 10 / 300+ Teams
Ultron 9.0 HackathonLed a team to Top 10 of 300+, taking QSecureX from concept to working post-quantum file exchange in 24 hours.
3rd Place
Ship In a Day BuildathonShipped ForkCast — live sync, Places API, race-safe winner finalization — inside the 24-hour window.
Academic Record
Education
2025 – 2029 · Kattankulathur, Chennai
SRM Institute of Science and Technology
B.Tech Computer Science and Engineering
NIRF Rank 11 · QS Top 54 Indian Universities
CGPA
9.8
2013 – 2025 · Guwahati, Assam
Maria's Public School
Higher Secondary Education
CLASS X
93%
CLASS XII
85%
TRANSMISSION CHANNEL OPEN
Let’s build
something real.
Looking for research collaborations, internships, and problems worth solving. Especially in quantum information science, post-quantum cryptography, and systems-level engineering.
Kattankulathur, Chennai · INDIA
ANCHIT LAHKAR