About Me
I'm an AI/ML Engineer passionate about building intelligent systems, solving real-world problems with Machine Learning, and creating products that scale.
AI & ML
Deep Learning, CNNs, NLP, Transformers, Computer Vision
Data Science
Data Analysis, Model Evaluation, Feature Engineering
Engineering
Full-stack ML systems, APIs, Web Development
Innovation
Problem Solving, Research, Building Products
Skills & Technologies
Tools, frameworks and technologies I use to build modern AI systems & web apps.
Projects

FasalRakshak
Architected an end-to-end AI-driven crop disease detection system enabling farmers to analyze plant images and obtain real-time predictions powered by a MobileNetV2 CNN (96%+ accuracy) across 38+ crop diseases. Integrated Google Gemini 2.5 Flash to auto-generate bilingual (English + Hindi) diagnostic reports covering symptoms, treatment plans, prevention steps, and recovery timelines, with QR-enabled PDF downloads. Engineered supporting features including an AI chatbot, analytics dashboard, and Supabase-based authentication and data management, supporting 100+ authenticated users with a farmer-friendly, scalable application.

AutoShield
AI-powered Web3 identity verification system that uses ML models to analyze profiles off-chain, generates cryptographically signed attestations, and stores verifications on-chain via Solidity smart contracts on BlockDAG. Aims to reduce fake accounts by ~70% and social engineering scams by ~50%.

StockMaster AI
Developed an end-to-end platform for predicting stock trends using AI and ML algorithms. Implemented advanced data preprocessing, sentiment analysis, and LSTM-based time-series forecasting.
Sign Language to Text
Built a Machine Learning model in Python for real-time sign language recognition and conversion to text. Used OpenCV, TensorFlow, and MediaPipe for hand gesture detection with high accuracy.

DSA Web Application
Developed a dynamic website using HTML, CSS, JavaScript (Frontend) & Django (Backend). Focused on implementing efficient DSA-based logic for optimized performance.
Experience & Education
Professional Experience
Education
B.Tech in AI & Machine Learning
Shri Ramdeobaba College of Engineering, Nagpur
Pursuing Bachelor's degree with focus on Artificial Intelligence and Machine Learning. Current CGPA: 8.22
12th State Board
Yeshwant Mahavidyalaya, Nanded
70%
10th CBSE Board
Nagarjuna Public School, Nanded
87.8%
Certifications & Achievements
BLOGDAG'25 Finalist
BlockDAG Hackathon
Problem: Web3 platforms face rising fake accounts and impersonation that lead to scams and loss of trust. Solution: Built AutoShield, an AI-powered Web3 identity verification system that analyzes profiles off-chain with ML, issues cryptographically signed attestations, and anchors them on-chain via Solidity contracts on BlockDAG. Target impact: ~70% reduction in fake accounts and ~50% reduction in social-engineering exposure.
View Details →Competitive Programming
LeetCode
Solved 600+ problems; improved DSA and problem-solving mastery.
Multi-Hackathon Participation
Various
Adobe Digital Analyst, Build with India, ComSoc HackX, AI for Quality, GDG Solution Challenge, Google Cloud Certified PCA, Bhartiya Antariksh Hackathon 2025 (ISRO).
