I'm a Software Developer at Printo.in, currently working on some really cool stuff like AI-powered chatbots, backend automation services, and scalable systems. My recent focus has been on building production-ready RAG-based conversational agents using Typesense, OpenAI, and vLLM, along with Celery-powered async pipelines and Dockerized deployments.
- 🤖 Building backend + AI systems that just work — clean, fast, and scalable.
- 🔍 Vector search, LLMs, LangChain-style orchestration, semantic relevance.
- 🧱 Designing tools and workflows for DevOps, product automation, and shipping operations.
- 📈 Passionate about analytics, data storytelling, and applied ML.
- 🛠️ Always experimenting with frameworks like FastAPI, MediaPipe, and OpenCV.
💡 Currently learning deeper agentic AI architectures, cloud deployment strategies (GCP), and scalable tool-using AI patterns.
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flask-rag-service
→ Lightweight conversational search backend using Typesense + vLLM, OpenAI fallback, and session state handling -
Covid-19 Prediction and Analysis
→ Built a time-series based COVID prediction tool using Python, Matplotlib, and regression models to visualize and forecast outbreak trends. -
Crime_Control
→ Android application that uses FaceNet for facial recognition and verification of criminals against a central database. Integrates real-time alerting and cloud-based image processing. -
Traffic Sign Detection and Recognition
→ Built a CNN-based classifier for German traffic sign dataset, reaching ~98% accuracy. Applied real-time recognition logic suited for autonomous vehicle systems. -
RBL_Project
→ Modeled energy consumption in cloud datacenters using heuristic techniques to predict and optimize power usage for large-scale systems.
