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๐Ÿงฌ About Me

B.Tech student at Manipal Institute of Technology (CCE, CGPA 7.93/10) โ€” building production-grade AI systems at the intersection of deep learning, computer vision, and edge hardware.

  • ๐Ÿ”ฌ 2 Patents (Low-Light Vision + Multi-Spectral Satellite Fusion)
  • ๐Ÿš€ Deployed real-time inference pipelines at 35 FPS on NVIDIA Jetson Nano via TensorRT INT8/FP16
  • ๐Ÿ›ฐ๏ธ Built satellite fusion networks achieving 79% mAP โ€” +18% over single-network baseline
  • ๐Ÿง  Mentoring 20+ undergraduates in Deep Learning and Computer Vision at Rugved Systems
  • ๐ŸŽฏ Targeting: AI/ML Research Internship (Computer Vision ยท Edge AI ยท Robotics)

โšก Tech Stack

Languages & Core

Python C++ Bash SQL SQLite

Deep Learning & CV

PyTorch TensorFlow Keras OpenCV Scikit-Learn YOLO FAISS

Edge & Deployment

TensorRT ONNX NVIDIA Jetson Docker

Robotics & Perception

ROS2 Open3D ArduPilot MediaPipe


๐Ÿ† Patented Research

๐Ÿ›ฐ๏ธ AMSSFN

All-Weather Multi-Spectral Satellite Fusion Network

PyTorch Multi-modal DL Patented

  • Invented environment-conditioned cross-spectral attention โ€” atmospheric state (clear/cloudy/smoky/night) directly modulates SWIR-thermal-visible band interactions
  • Thermal super-resolution from 100m โ†’ 30m using learned Lagrange multipliers, preserving temperature accuracy within 0.2K
  • 79% mAP vs. 67% single-network baseline (+18% relative gain)

๐ŸŒ™ Intelligent Adaptive Low-Light Vision

Hardware-Adaptive Zero-DCE Edge System

PyTorch TensorRT NVIDIA Jetson Nano Patented

  • Architected degradation-aware enhancement model superseding Zero-DCE; adaptive to high-variance noise and motion blur
  • Deployed at 35 FPS / ~15ms latency on Jetson Nano via TensorRT INT8/FP16 quantization
  • Dynamic hardware routing via gating mechanism along quality-vs-latency Pareto frontier

๐Ÿš€ Featured Projects

๐Ÿง  Brain Tumor Classification & Detection

CNNs YOLO PyTorch Paper Submission in Progress

  • 96% classification accuracy on MRI data via custom CNN architecture
  • Integrated YOLO bounding-box detection for precise tumor localization
  • Full ML pipeline: preprocessing โ†’ augmentation โ†’ training โ†’ Precision/Recall/F1/AUC evaluation

ArduPilot Pixhawk ROS2 C++

  • GPS-denied navigation reducing flight path deviation by ~40% vs. open-loop baseline
  • Coordinate frame transformations + IMU sensor fusion for stable dynamics in unstructured environments
  • Designing decentralized multi-agent path planning for a swarm of 3 drones

VINS-Mono RTAB-Map ROS2 A* C++

  • Engineered Visual Inertial Odometry (VIO) fusing monocular vision + high-frequency IMU for precise state estimation in GPS-denied zones
  • Real-time loop closure and occupancy grid mapping via RTAB-Map
  • A* path planning on live occupancy grid for dynamic obstacle avoidance

Next.js Express MongoDB TypeScript Gemini API

  • Engineered a closed-loop active web vulnerability scanner featuring a real-time SSE attack console
  • Deployed dynamic mitigation system with automated framework-specific patch generation (F โ†’ A+ grading)
  • Integrated advanced security audits including dynamic CORS credential-leak detection and SSL/TLS certificate lifetime monitoring
  • Designed responsive Bento dashboard with WebGL posture visualization and AI-driven threat briefings

PyTorch FAISS SQLite FTS5 NLP Transformers

  • Fuses FAISS semantic vector search with SQLite FTS5 keyword query execution via reciprocal rank fusion (RRF)
  • Implements custom PyTorch representation projection bridge mapping 768d BERT embeddings to LLaMA 4096d hidden space
  • Quantized to 4-bit NF4 and optimized for local edge GPUs under 8GB VRAM limit using lazy-loading and offloading

Optimization Pathfinding Logistics Python

  • Designed an intelligent real-time traffic and logistics optimizer for delivery route planning.
  • Resolves vehicle routing problem (VRP) under time-window constraints and traffic congestion.
  • Features dynamic re-routing with live traffic updates to minimize delays.

๐Ÿ›ฐ๏ธ AstraSRE

Python Next.js Prometheus Loki Jaeger Docker Ollama

  • Built an autonomous, self-healing SRE platform featuring live telemetry-driven service-health monitoring.
  • Closed the inject -> detect -> diagnose -> remediate loop in under 5 seconds using Isolation Forest ML and topological RCA.
  • Automatically handles pod restarts, horizontal scaling, and cache seeding, generating detailed LLM incident reports.

๐Ÿ… Honors & Achievements

๐Ÿฅ‡ Achievement Details
๐Ÿ‡ฎ๐Ÿ‡ณ Smart India Hackathon (SIH) โ€” Round 2 Qualifier Developed Physics-Aware Multi-Modal Thermal Super-Resolution system; top national qualifier
๐Ÿค– E-Yantra Robotics Competition (IIT Bombay) โ€” Top 15 Recognized for AI-driven autonomous navigation system design

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