Computer Vision Engineer | Published ML Researcher | Building AI Systems That Ship
I'm a final-year B.Tech IT student at Manipal Institute of Technology, building real-time computer vision and AI systems that go into production, not just notebooks. My work spans CCTV intelligence at IndoAI Technologies — fire/smoke detection at 92% mAP, action recognition, and an automated camera-placement and Bill-of-Quantities pipeline — an explainable chest X-ray diagnostic platform, and AI-native research tooling. I've authored four papers across ML and computer vision venues, and I care as much about the unglamorous parts of production AI (deterministic pricing, observability, security) as I do about the models themselves.
Skills
Machine Learning & AI
Developed and deployed models using TensorFlow, PyTorch, and Keras. Hands-on experience with YOLOv8, Vision Transformers, 3D CNNs, Grad-CAM explainability, model pruning, and LangGraph for multi-agent LLM orchestration.
Data Science & Analytics
Proficient in NumPy, Pandas, and Scikit-learn for data preprocessing and analysis. Experienced in semantic ranking and diversity-based re-ranking (cross-encoders, MMR) for information retrieval systems.
Computer Vision
Built real-time systems using OpenCV, MediaPipe, and YOLOv8. Projects include fire/smoke detection, pose correction, violence recognition, and CCTV camera-placement and coverage-geometry pipelines.
Healthcare AI
Worked with large-scale medical datasets like Stanford’s CheXpert for chest X-ray diagnosis. Designed a second-opinion tool for diseases including pneumonia, edema, and cardiomegaly.
Programming Languages
Fluent in Python, Java, TypeScript/JavaScript, C, and C#, with strong OOP fundamentals.
Soft Skills
I bring strong leadership and mentorship experience, having led my school football team and guided interns during my ML internship. I communicate technical ideas clearly, making complex AI concepts accessible to diverse audiences. My problem-solving mindset drives me to build real-world solutions—whether in healthcare diagnostics or production AI systems. I adapt quickly to new technologies and manage time effectively to balance academics, research, and development projects.
Work Experience
Intern – IndoAI Technologies Pvt Ltd (INDO.AI), India
Action Recognition
Oct 2024 – Jun 2025
Internship focused on building AI models for real-time detection and video analysis in safety-critical applications.
Engineered a YOLOv8 fire & smoke detection system with 92% mAP and 91% real-time accuracy via OpenCV.
Developed and optimized 3D CNN and Vision Transformer models for violence detection, achieving 96% accuracy with 30% faster inference.
Integrated OpenAI CLIP into a custom pipeline, improving video summarization accuracy by ~20%.
Executed advanced feature engineering, augmentation, and hyperparameter tuning to boost model F1 scores up to 15%.
Designed lightweight neural networks enabling low-latency, real-time object detection on IP camera feeds.
Semantic Video Summarization with CLIP-Based Frame Scoring
Fire and Smoke Detection
Independent Projects
I have developed impactful AI and data science projects across finance, healthcare, fitness, and blockchain. Highlights include:
Algorithmic Quant Trading
Gym Exercise Tracker
Stock Price Prediction
These projects showcase my expertise in machine learning, computer vision, and data analytics, focused on creating scalable and practical solutions.
Professional Certifications
DeepLearning.AI TensorFlow Developer https://coursera.org/verify/professional-cert/6WV1B2NYGEI5
Google Cloud Digital Leader Training https://coursera.org/verify/professional-cert/AU6VRXRO6BQS
Certifications and Achievements
Specialized Training
Quantum Cryptography School for Young Students (QCSYS-2021) — University of Waterloo & Institute for Quantum Computing
(Selected among 120 students worldwide)IBM’s Qubit by Qubit (2020-2021) — Introduction to Quantum Computing
(100% scholarship, selected among 5000 students worldwide)SQL: A Practical Introduction for Querying Databases — IBM https://coursera.org/verify/V2KM7WCJZTCR
Mathematics for Machine Learning: Linear Algebra — Imperial College London
Extracurriculars & Interests
Football
8+ years of professional experience
Played for Pune City FC & KMPL (Pro level)
State-level player; captain of school team for 3 years
Current team player at Manipal Football Club
Music
Keyboard artist, certified by Trinity College London (Grade 1 Practical, Initial Grade Theory)
Get in Touch
Connect with me for collaboration on AI and ML projects or Hire Me
