Skills

Machine Learning & AI

Developed and deployed models using TensorFlow, Keras, and PyTorch. Hands-on experience with YOLOv8, Vision Transformers, 3D CNNs, and model pruning for optimized performance.

Data Science & Analytics

Proficient in NumPy, Pandas, and Scikit-learn for data preprocessing and analysis. Skilled in clustering, feature engineering, and technical indicator-based modeling using RSI, MACD, ATR, and PyPortfolioOpt.

Computer Vision

Built real-time systems using OpenCV, MediaPipe, and YOLOv8. Projects include fire/smoke detection, pose correction, and violence recognition using deep learning.

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, C, and C#, with strong OOP fundamentals and application in both AI and systems-level projects.

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 blockchain analysis. 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.

Ongoing Projects

• SECONDSIGHT LUNG

• SOLANA COIN GRADUATION PREDICTOR

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