Data & AI/ML Enthusiast | Building intelligent systems that learn from real-world data 🚀 On a mission to make AI practical and impactful!

I'm a passionate AI/ML enthusiast with hands-on experience turning raw data into intelligent solutions. My journey spans from analyzing smart city data and satellite sensor data in space applications to analysis of Big Data, Spatial anlysis and vizualize. Currently I'm Building AI-powered agent applications that actually solve real problems. Diving deep into AIOps, MLOps, AI Agent frameworks, and large language model applications. Building scalable data pipelines and intelligent systems that learn from diverse data sources.🎯 What drives me? The intersection of cutting-edge AI technologies and practical real-world applications. I believe the best ML models are the ones deployed in production—not just in notebooks.

• Python (Primary)🐍 | JavaScript📜
• Data manipulation, analysis, and transformation
• Building scalable systems from concept to production

• 🧠 AI Agents & LLMs – LangChain, LlamaIndex, OpenAI, Pinecone (vector DB)
• 📊 Time Series Forecasting – SSTM,LSTM, OCM-3, OSCAT-3, Prophet on sensor data
• 🖼️ Computer Vision – Satellite imagery classification and analysis
• 🗺️ Geospatial Analysis – Working with location-based big data
• 🔄 Data Pipelines & ETL – Building robust, production-ready data systems
• ⚡ API Integration – WeatherAPI, OpenAI, and custom REST APIs

Currently exploring how large language models + vector databases can power the next generation of intelligent agents. Working with:

• LangChain for intelligent agent orchestration
• Pinecone for semantic search and RAG (Retrieval-Augmented Generation)
• OpenAI APIs for cutting-edge language capabilities
• Custom weather intelligence systems using real-time APIs

• 🐳 MLOps – Containerizing ML models for production
• 📈 Scaling ML systems – Moving from notebooks to enterprise-grade deployments
• 🔍 Advanced prompt engineering – Getting the most out of language models
• 🏗️ System design for AI applications – Building architectures that scale

• Tech: Excel, Visualization
• Achievement: Processed and visualized multi-source data streams
• Real-world impact: Used by urban planners for infrastructure optimization

• Tech: Computer Vision, NumPy, Panda, TensorFlow, Geospatial Data Processing
• Achievement: Built automated classification system for satellite imagery
• Result: Successfully classified sea-surface patterns across regions

• Tech: LangChain, Pinecone, OpenAI, Python
• Goal: Building intelligent agents that understand context and provide smart recommendations
• Current focus: Optimizing retrieval and response quality

Bachelor of Computer Applications (BCA)
Specialization in Computer Science/Applications

Continuous Learning:

• 📚 Advanced ML & AI courses
• 🔬 Hands-on experience with production ML systems
• 🚀 Self-taught in latest AI/ML frameworks and tools

✅ Real-world experience – Not just theory; I've shipped data solutions in production
✅ Fast learner – Quickly adapted to satellite data, smart city systems, and AI agents
✅ Problem solver – From messy data to deployed models, I own the full pipeline
✅ Collaborative – Love working with teams and sharing knowledge
✅ Current tech – Always exploring the latest in AI, MLOps, and data engineering

I'm always excited to discuss:

• 🤖 AI/ML opportunities and challenges
• 🚀 Building scalable data systems
• 💬 Best practices in MLOps and data engineering
• 🤝 Collaborating on interesting projects

📧 Reach out via:

• 🔗 LinkedIn – Let's connect!
• 💬 Open to discussions about roles, projects, or just chatting about AI/ML
• 📂 Explore my GitHub repos (coming soon with more project details!)

Looking for: Data Science roles, ML Engineering positions, or AI-focused projects
Ideal fit: Companies building intelligent products, working with big data, or pushing boundaries in AI
Timezone: IST (Indian Standard Time)

Let's build something intelligent together! 🚀

Last updated: 2026 | Always learning, always building