A math-driven enthusiast who loves problem-solving, exploring different domains and engineering solutions. My areas of interest are Machine Learning, Quantum Computing, Topology, Dynamical Systems, Robotics, and more. Apart from this, I love to indulge myself in activities like hiking, horse-riding, painting, and snooker.
Beyond traditional software development, I am deeply interested in cognitive computing systems and alternative computing paradigms—systems that move beyond pattern matching toward structured reasoning and state-aware behavior.
Computer Vision · Deep Learning · Digital Image & Signal Processing · Quantum Machine Learning
Quantum Assisted Cognitive Agent (QACA) with predictive world modeling and a QAOA-style trajectory planner.
Tools, frameworks, and platforms I use to build production-grade ML systems.
Hands-on roles delivering ML pipelines and real-time perception systems.
AI/ML Engineer Intern
Machine Learning Researcher
Selected work across ML research, perception systems, and AI agents.
Model-based cognitive agent with latent state representation, world models, value learning, and planning. Built a quantum-inspired trajectory planner using bitstring encoding and QAOA-style optimization to evaluate action sequences.
End-to-end CNN pipeline for automated disease detection, with preprocessing, augmentation, and evaluation using accuracy, precision, and recall.
Large-scale stitching pipeline using feature matching and geometric alignment for high-resolution satellite imagery reconstruction, with optimized processing for efficiency.
Production-style BI agent with modular intent parsing, data retrieval, and automated insight generation for CRM and operational datasets.
Unix-like shell with command parsing, fork/exec process control, and job tracking for foreground and background execution.
Highlights from competitive programming and academic milestones.
Top 200 in the Amazon ML Challenge
OPHO Rank 251
12th Score 90%
10th Score 96.1%
Regional Mathematics Olympiad Qualified
Codeforces Specialist (1462)
Want to collaborate on research, internships, or challenging ML problems? Send a direct email and I’ll respond as soon as I can.