AI/ML Developer | Generative AI • Agentic AI • NLP • RAG • Computer Vision
Building Intelligent Systems with LangChain, LLMs & Deep Learning — Open to Opportunities
I'm a B.Tech Computer Engineering student at SSVPS B.S. Deore College of Engineering, Dhule, passionate about building intelligent systems that solve real-world problems using AI.
Proficient in Machine Learning, Deep Learning, NLP, Generative AI, Agentic AI, LLM Fine-Tuning, RAG (Retrieval-Augmented Generation), and Computer Vision. I work with Python, Java, JavaScript, and SQL, leveraging frameworks like Scikit-learn, TensorFlow, LangChain, LangGraph, Flask, and ReactJs to build end-to-end AI solutions.
My projects include Kisan AI — an ML-based crop recommendation and CNN-powered disease detection platform, AuraLearn — an AI educational assistant (Rank 8 at IIT Madras among 1000+ teams), and a Skin Cancer Detection CNN classifier on the HAM10000 dataset.
Currently exploring LLM Fine-Tuning (LoRA/QLoRA), Vector Databases, Multi-Agent Systems, and MLOps Pipelines (MLflow, DVC). As Vice President of the Brocode Coding Club, I lead technical events, hackathons, and coding workshops for 200+ students.
🎓 Certified by Microsoft & LinkedIn (Career Essentials in Data Analysis), IIT Bombay (Python & Java Training), and IIT Guwahati (Time Series Analytics).
📩 Open to internships, entry-level roles, and opportunities in AI, Machine Learning, and Data Science.
Competed and delivered at national-level platforms including IIT Madras, IIT Bhubaneswar, and DBATU
Secured Rank 8 at the prestigious Project Horizon: GPAi Case Competition organized by Case Club IIT Madras. Competed solo against brilliant teams from IIT Madras, IIM Calcutta, and NIT Rourkela. Developed and presented AuraLearn, an AI-powered EdTech prototype.
Read on LinkedIn →Selected as Top 30 Finalist in the Tech Zephyr B-Plan Contest by FEBS, IIT Bhubaneswar. Pitched AuraEdge — an AI-powered wardrobe management and styling assistant blending sustainability, personalization, and smart shopping.
Read on LinkedIn →Cleared both Institute and Zonal rounds of Avishkar with 1st Rank at Institute Level and Silver Medal at Zonal Level (K.K. Wagh College, Nashik). Advanced to University Level at DBATU with AgroAI project.
Read on LinkedIn →Pitched AgroAI at Pitch Fest 2K25 finals at PCU. Selected in the Top 40 out of 300+ teams. Presented to a jury of investors on how AgroAI can revolutionize crop management using AI and predictive analytics.
Read on LinkedIn →Represented institution at the Avishkar University Level at Dr. Babasaheb Ambedkar Technological University (DBATU) with AgroAI. Gained invaluable exposure, feedback, and mentorship from Prof. Dr. Indrabhan Borse Sir.
Read on LinkedIn →Secured 2nd Place at Avinya 2024, hosted by MES Garware College of Commerce, Pune. Showcased technical proficiency and innovative problem-solving skills.
Achievement →Won Rank 1 at the Fusion Frame UI Design Competition on Engineering Day. Designed and built a complete web application. A milestone achievement after years of consistently placing second in various competitions.
Read on LinkedIn →Conducted an in-depth exploratory data analysis (EDA) on Amazon's top 50 bestselling books spanning 2009 to 2019 using Python, Pandas, Matplotlib, and Seaborn.
View on GitHub →Developed a Machine Learning model using TensorFlow and OpenCV to accurately identify and classify skin cancer from dermatological images, aiding in early diagnosis.
View on GitHub →Built a Convolutional Neural Network (CNN) based deep learning application capable of detecting and diagnosing plant diseases from leaf imagery with high accuracy.
View on GitHub →Developed a comprehensive financial technology platform focused on smart analytics, seamless tracking, and user-centric financial management interfaces.
View on GitHub →Innovative solutions powered by AI & Machine Learning
An AI-powered smart farming platform revolutionizing agricultural decision-making, market connectivity, and resource accessibility — all from your smartphone.
Detect leaf diseases and assess crop health using just your phone camera — no expensive equipment needed.
Get real-time guidance on fertilizers, watering schedules, and disease treatments powered by AI.
Direct platform for buying farming supplies and selling crops to wholesalers and companies.
Connect with fellow farmers for support, Q&A, and knowledge sharing.
An AI-powered wardrobe management and styling assistant redefining the way youth interact with fashion — blending sustainability, personalization, and smart shopping into one sleek ecosystem.
Experience your outfit in real time through AR — visualize clothes before buying or styling them.
Scan, categorize, and organize your entire wardrobe digitally — no more "nothing to wear" moments.
Monitor clothing usage, earn eco-points, and discover ways to reduce fashion waste.
Get AI-driven suggestions for reusing, reselling, or thrifting your old clothes — all aligned with your personal style.
Engage in clothing swaps, share looks, and win rewards for sustainable fashion choices.
An AI-driven academic growth and productivity platform designed to break the language barrier, boost focus, and track real learning progress — all through one interactive learning ecosystem.
Learn STEM concepts in easy Hinglish — removing the cognitive load of translation.
Visualize your academic growth, mastery, and time-in-flow through actionable data insights.
Get personalized AI-driven study plans, topic challenges, and self-correction metrics for skill improvement.
Get paired with human or AI mentors for cognitive skill enhancement and personalized guidance.
Access notes, PYQs, videos, and AI-generated explanations — all in one place.
AI YouTube Note Generator, STEM Visualizer, and Anti-Procrastination Engine (APNE).
An AI-powered mental and physical health monitoring platform that works through your smartphone camera — no additional hardware needed.
Early detection of stress, anxiety, heart issues, and fatigue using advanced facial analysis and vital monitoring.
Continuous monitoring of micro-expressions, pupil dilation, and vital signs through your device's camera.
Secure, on-device processing with privacy-focused data handling for complete user confidentiality.
Personalized recommendations for breaks, meditation, hydration, and professional help when needed.
Works entirely through your smartphone - no smartwatches or additional devices required.
Track mood patterns, focus levels, and heart data through an intuitive interface.
A lightweight, front-end focused AI assistant that makes web forms smarter and more responsive — no external APIs needed.
Built-in validation using native JavaScript to ensure accurate form submissions without external libraries.
Intelligent field type detection and validation for emails, phone numbers, and other common inputs.
Interactive DOM-based responses with inline error messages and animated text guidance.
Minimal dependencies required, making it perfect for any web project without backend complexity.
Seamlessly integrates with any HTML/CSS/JS or React-based website architecture.
All processing happens client-side, ensuring user data never leaves their browser.