Palak Jaiswal

I’m a results-oriented Computer Science graduate with experience in backend development and AI/ML-focused applications. I specialize in building scalable REST APIs, backend services, and data-driven systems using Python, FastAPI, Flask, PostgreSQL, and MySQL.

Currently, at Nippon Audiotronix Pvt. Ltd., I work on EVSE backend systems involving telemetry persistence, fault logging, service workflows, and real-time data processing. My work includes API development, database optimization, backend integrations, and supporting ML-based inference workflows for intelligent systems.

I also have experience working on ADAS-related projects involving object detection pipelines, sensor data processing, and emergency braking workflows using deep learning and computer vision concepts.

Beyond backend engineering, I enjoy building AI-powered applications using LangChain, Cohere embeddings, FAISS, retrieval-augmented generation (RAG), and semantic search pipelines. One of my key projects involved developing an AI document retrieval agent capable of context-aware search across uploaded documents using FastAPI and vector search technologies.

I’m passionate about solving real-world engineering problems, writing maintainable production-ready code, and continuously learning modern backend and AI technologies. I enjoy collaborative environments where I can contribute to scalable software systems and innovative AI-driven products.