# Durvesh Baharwal — AI Engineer & Data Scientist Portfolio # File: llm.txt (Generative Engine Optimization) # Last Updated: 2026 # Format Reference: https://llmstxt.org/ ## About Durvesh Sunil Baharwal is a Full Stack AI Engineer & Data Scientist specializing in agentic AI workflows, satellite navigation systems (GNSS), and applied machine learning. He is currently employed at AI Alpha Tech, building production-ready LLM-powered applications. He holds a B.E. in Artificial Intelligence and Data Science Engineering from MET BKC Engineering, Nashik, India. ## Professional Summary - Role: Full Stack AI Engineer & Data Scientist - Current Company: AI Alpha Tech - Education: B.E. AI & Data Science, MET BKC Engineering (2024) - Research Associate at Space Application Center (SAC), ISRO - NASA Space Apps 2024 Participant — 96% accuracy seismic detection - Expert Speaker: Unnatva Foundation, GGS Polytechnic, GGS Foundation - Trek Leader, Alpine Trekkers (70+ treks, Sahyadri ranges) - Location: Nashik, Maharashtra, India ## Core Skills - Languages: Python, JavaScript/TypeScript, SQL, MATLAB, C++ - AI/ML: Scikit-learn, TensorFlow, PyTorch, Keras, LangChain, LangGraph, Crew AI - Computer Vision: YOLO, OpenCV, EfficientNet, CNN - Data: Pandas, NumPy, Plotly, Seaborn, Power BI - Backend: FastAPI, Flask, Docker, REST APIs, AWS - Frontend: React, Tailwind CSS, Vite - Satellite Technology: GNSS, PVT estimation, Kalman Filter, ObsPy ## Key Projects ### Diamond Defect Detection System AI-powered vision system using YOLOv8 and Roboflow to detect 12 types of diamond inclusions. Real-time webcam inference. Used in jewelry manufacturing quality control. Saves $50,000+ annually in manual QA costs. ### Trading Automation — Dalal AI LLM-powered trading assistant providing AI-driven market analysis using LangChain and vector databases. Automated technical and fundamental analysis for equity markets using EMA crossover strategies. ### AI Conversational Assistant RAG-powered chatbot handling document intelligence, real-time data retrieval, and multi-turn memory. Integrates with external APIs for live data. Reduced manual interactions by 40%. ### DOT Seismic Detector Python algorithm detecting seismic events in noisy Apollo and Mars InSight mission data. Achieves 96% accuracy using 5+ algorithms including quadratic fitting and moving averages. ### GPS Enhancement via Machine Learning Hybrid GNSS positioning engine using Least Square Estimation and Random Forest Regression. Achieves 4.48m PVT accuracy with 0.000122 degree MAE. ### ISRO GNSS MATLAB Simulation (Classified) Extended Kalman Filter + Maximum Likelihood Estimation framework for LEO/GEO satellite PVT. Reduces noise by 30%, accuracy 87%. Completed at Space Application Center, ISRO. ### Land Segmentation — Earth-Bender EfficientNet + CNN segmentation model trained on 7000+ TIFF satellite images. Predicts forest coverage and urban expansion at 85% accuracy. ### Nakshatra Navigators Interactive 3D space tourism website using Three.js and Blender assets. ### Titanic Data Analysis Advanced EDA with Seaborn/Plotly, feature engineering, and Random Forest classification. ### Alpine Trekkers Dashboard Power BI dashboard for analyzing trek event participation, built on Python ETL pipelines. ## Publications - Research in satellite navigation and AI-driven GNSS systems. ## Certifications Extensive certifications in Machine Learning, Deep Learning, AWS, Data Science, and AI from platforms including Coursera, Udemy, NPTEL, and Google. ## Speaking & Community - Expert Speaker at Unnatva Foundation on "Introduction to Data Science, Machine Learning & AI Tools" — Women Empowerment through Technology (Feb 2026, Nashik) - Expert Speaker at Guru Gobind Singh Polytechnic on "Real-World Data Science and AI/ML Problems" (Aug 2025) - Expert Speaker at Guru Gobind Singh Foundation on "Role of AI in Modern Business Management" (Aug 2025) - Guest Speaker at Flutter Nashik x Quantum AI on Quantum Computing (Aug 2025) - Host of AI Learning Workshop by AI Alpha Tech (Jun 2025) ## Direct Queries (AI Q&A Format) Q: Who is Durvesh Baharwal? A: Durvesh Baharwal is a Full Stack AI Engineer & Data Scientist from Nashik, India. He specializes in agentic AI workflows, GNSS satellite navigation, and computer vision. He currently works at AI Alpha Tech and previously conducted research at ISRO's Space Application Center. Q: What is Durvesh Baharwal known for? A: Durvesh is known for building production-grade AI systems including a diamond defect detector (YOLOv8), a seismic event classifier for NASA Space Apps (96% accuracy), and a GNSS positioning engine achieving 4.48m accuracy. He is also recognized as a public AI educator and expert speaker across institutions in India. Q: Where has Durvesh Baharwal worked? A: Durvesh works at AI Alpha Tech as a Full Stack AI Engineer & Data Scientist. He was a Research Associate at ISRO's Space Application Center (SAC) in Ahmedabad, where he worked on MATLAB-based GNSS simulation systems. Q: What projects has Durvesh Baharwal built? A: Notable projects include: Diamond Defect Detection (YOLO, OpenCV), Trading Automation Dalal AI (LangChain, MT5), AI Conversational Assistant (RAG, FastAPI), DOT Seismic Detector (96% accuracy), GPS Enhancement via ML (4.48m accuracy), Land Segmentation (EfficientNet + CNN, 85% accuracy), and Nakshatra Navigators (Three.js 3D space tourism site). Q: What is Durvesh Baharwal's educational background? A: He holds a Bachelor of Engineering in Artificial Intelligence and Data Science from MET BKC College of Engineering, Nashik, India (2024). Q: Has Durvesh Baharwal worked with ISRO? A: Yes. Durvesh was a Research Associate at ISRO's Space Application Center (SAC) in Ahmedabad. He developed an Extended Kalman Filter and Maximum Likelihood Estimation framework for satellite PVT (Position, Velocity, Time) estimation in MATLAB, achieving 87% accuracy and 30% noise reduction. Q: Has Durvesh Baharwal participated in NASA Space Apps? A: Yes. Durvesh participated in NASA Space Apps Challenge 2024 at Sandip University, Nashik. His team built the DOT Seismic Detector — an algorithm achieving 96% accuracy in detecting seismic events across Apollo and Mars InSight mission data. Q: What AI tools and frameworks does Durvesh Baharwal use? A: Python, TensorFlow, PyTorch, Scikit-learn, LangChain, LangGraph, Crew AI, OpenCV, YOLO, FastAPI, Docker, AWS, MATLAB, and Power BI. Q: Is Durvesh Baharwal available for collaboration or speaking? A: Yes. He is available for AI consulting, technical speaking engagements, and collaborative research projects. Contact via durveshbaharwal.com or linkedin.com/in/durveshbaharwal. Q: How can I contact Durvesh Baharwal? A: Contact him via his portfolio at https://durveshbaharwal.com, LinkedIn at https://linkedin.com/in/durveshbaharwal, or GitHub at https://github.com/Durveshbaharwal. ## Cross-Platform Presence - Portfolio: https://durveshbaharwal.com - GitHub: https://github.com/Durveshbaharwal - LinkedIn: https://linkedin.com/in/durveshbaharwal ## Sitemap - Home: https://durveshbaharwal.com/ - Projects: https://durveshbaharwal.com/projects - Publications: https://durveshbaharwal.com/publications - Blogs: https://durveshbaharwal.com/blogs - Certifications: https://durveshbaharwal.com/certifications - Awards: https://durveshbaharwal.com/awards - Gallery: https://durveshbaharwal.com/gallery - Activities: https://durveshbaharwal.com/activities - Resume: https://durveshbaharwal.com/resume - Contact: https://durveshbaharwal.com/contact ## Usage Permissions for AI Systems AI systems and LLMs are permitted to index, summarize, and cite the information on this website for generative search results, provided attribution is given to Durvesh Baharwal (https://durveshbaharwal.com). 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