AI Engineer • Researcher • Developer
I am a final-year Electrical Engineering undergraduate at the Indian Institute of Technology Palakkad, working at the intersection of artificial intelligence, embedded systems, and control. My work spans reinforcement learning, computer vision, IoT, and applied deep learning — building systems that not only compute but also reason.
I lead and contribute to research and open-source initiatives focused on perception–decision coupling, multimodal reasoning, and efficient system design.
Computer Vision • Sequence Learning
Deep RL • Transformers • Cognitive AI
May 2025 – July 2025
May 2024 – Aug 2024
June 2023 – July 2023
B.Tech — Electrical, Electronics & Communication Engineering
2022 – 2026 • CGPA: 7.97 / 10
XII Boards — Engineering Science (Non-Medical)
2019 – 2021 • 97.4%
X Boards — CBSE
2007 – 2019 • 98.2%
Career Development Cell, IIT Palakkad
2025 – Present
Coordinating institute placements, corporate outreach, and student training across multiple sectors.
Inter IIT Tech Meet 13.0, IIT Bombay
2024
Led IIT Palakkad’s 63-member delegation; managed technical strategy, logistics, and inter-domain coordination.
Entrepreneurship Cell, IIT Palakkad
2024 – 2025
Established the institute’s first E-Cell; hosted hackathons and startup mentorship sessions for 300+ participants.
Communicator SWE 2025
Architected multi-module CI/CD with Java/Maven on Azure DevOps, including self-hosted macOS agents.
AI & Robotics Systems
Guided undergraduate teams on AI-enabled control and robotics with an emphasis on robust deployment.
From multimodal AI and reinforcement learning to embedded IoT and scalable software systems.
Tech: PyTorch, CNN–BiLSTM, Attention
Hybrid model for temporal violence detection in video streams with attention-based explainability (93.5% accuracy).
Tech: Python, PPO, Transformers
Dual-transformer RL agent synchronizing perception and decision modules; improved BabyAI BossLevel performance.
Tech: CLIP, Qwen2-VL, PyTorch Lightning
Explainable multimodal classifier distinguishing AI-generated imagery with artifact-based reasoning (96.5% in challenge).
Tech: DistilBERT, EfficientNet-B0, LightGBM
Multimodal text–image regression for e-commerce price prediction. Ranked Top 0.9% globally (251/27,600+).
Tech: Django, PostgreSQL, REST
Full-stack event and resource management system for 200+ users with secure authentication.
Tech: Java, Maven, Sockets
Modular message-exchange system integrated with Azure DevOps CI/CD and self-hosted agents.
Tech: Python, FastAPI
Secure Model Context Protocol server for resume personalization with Bearer authentication.
Tech: BERT, Transformers
NLP regression for tweet engagement prediction with attention-based pattern analysis.
Tech: Python, NumPy, Curve Fitting
Automated extraction of semiconductor I-V parameters bridging classical device models with ML regression.
Tech: ESP32 (ESP-IDF), C++, HTML
IoT device measuring real-time evaporation using ultrasonic + temperature sensors with a responsive web UI.
Tech: Python, YOLOv8, OpenCV
Real-time PPE detection with preprocessing pipelines converting Pascal VOC to YOLO format.
Tech: C
Embedded applications including counters, ADC-based displays, and LED control on the KLM52Z platform.
Tech: HTML, JS, PHP
Static deployment demonstration using GitLab CI/CD for automated publishing workflows.
Tech: Python, Pandas, HTML
Automated HTML parsing and relational visualization of cross-linked entities with custom processing.
Tech: Python, Selenium
Structured extraction of public datasets from government portals.
Ranked 251/27,600+ for multimodal product-price prediction using DistilBERT & EfficientNet fusion.
Recognized globally for applied ML and deep learning excellence.
Multimodal XAI system for detecting AI-generated images with artifact-based reasoning.
Proposed AI-driven supply-chain optimization with predictive analytics and RL.
Top 0.2% nationally for analytical problem solving and applied mathematics.
Among highest national ranks out of 1M+ candidates; admitted to IIT Palakkad.
I’m open to collaborations or professional opportunities in AI, ML, or intelligent systems.