I build agentic AI systems
and low-level software.
B.Tech CSE @ GCEK · Open to internships in AI/ML, Backend, or Systems.
Currently seeking Internship opportunities in Backend Engineering, AI/ML Research, or Systems Programming.
Who I Am.
Second-year CSE student at Govt. College of Engineering, Kannur. I obsess over how things work at the lowest level — from CPU pipelines to LLM inference. That curiosity drives everything I build.
I focus on agentic AI systems and backend engineering, combining systems-level thinking with modern ML tooling. I ship things, not just ideas.
Current Focus
- LangGraph & Agentic AI Pipelines
- RAG Systems & Local LLM Inference
- Computer Architecture (COA / GEM5)
- FastAPI & Backend Systems
Professional Experience.
Campus Co-Lead
MuLearn, GCEK
Co-leading µLearn GCEK — organizing hackathons, peer learning sessions, and technical events. Ran Build with AI · Kannur 2026 (50+ participants).
AI/ML Intern
Infosys Springboard
Built CircuitGuard — a two-stage OpenCV + EfficientNet-B4 pipeline for PCB defect detection. 98% accuracy across 6 defect categories.
Academic Path.
B.Tech in Computer Science
Govt. College of Engineering, Kannur
CGPA: 6.9. Coursework in Data Structures, OS, DBMS, and Computer Architecture. Active in hackathons and open-source outside class.
Technical Arsenal.
Core CS & Engineering
Intelligent Systems
Tools & Ecosystem
Selected Deployments.
CircuitGuard
Problem: High latency and error rates in manual PCB manufacturing inspections.
Solution: Developed a deep learning-based localization system to detect micro-defects.
Impact: Achieved 98% detection accuracy with 2x faster throughput than manual methods.
dev-logger-agent
Problem: Developers lose track of daily work — no structured git history summary exists.
Solution: A LangGraph ReAct CLI agent that reads git history and auto-generates structured dev logs.
Impact: Installable globally via pipx. Reduces daily logging overhead to zero.
Pipeline Analyzer
Problem: Difficulties in visualizing and mitigating data/control hazards in CPU pipelines.
Solution: A Python-based integration with GEM5 to simulate and analyze structural hazards.
Impact: Identified 3 critical bottlenecks in a dual-issue CPU simulation environment.
Awards & Recognition.
National Finalist
HackWise 2026: Secured a top-tier finish among 500+ participants nationwide at IIM Indore.
Innovate Hackathon
IEEE Kerala 2025: Spearheaded the development of a production-style AI solution for the challenge.
Tinkerhub Sprint
18Hrs Prototyping: Rapid-prototyped a technical solution during an intensive offline sprint.
100 Days of AI
Learning Trajectory: Publicly documented a rigorous 100-day journey from fundamentals to agentic AI.
Open Source & Activity
Continuously building in public and contributing to core systems and AI repositories.
Visit GitHub ProfileGet in touch.
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I'm currently looking for internships and collaborative projects in AI and Systems.