mohit jain

Owned the full product loop end-to-end, converting raw user feedback into deployed features. Designed and deployed autonomous multi-agent research loops using LangGraph and LangChain, and architected advanced RAG pipelines with Azure and Pinecone.

Operated as founding full-stack tech lead for Coral Academy, an early-stage ed-tech startup incubation. Engineered collaborative multi-agent execution ecosystems using LangChain and custom Python tools, and developed responsive frontends with React.js and Next.js.

Architected enterprise-scale data streaming and retrieval pipelines (Kafka, Java, PySpark) for real-time AI and anomaly detection. Spearheaded integration of LLM-powered data extraction and classification modules to improve fraud pattern recognition.

Spearheaded integration of Generative AI and RAG architectures for intelligent tutoring prototypes and automated Q&A bots. Owned full-stack feature delivery across Python/FastAPI backends and React.js frontends.

Led development of automated content tagging and semantic search pipelines using NLP models and text embeddings. Engineered custom ML pipelines in Python/Java for anomaly detection and led full-stack web application development.

Designed and deployed high-availability microservices (Java, Node.js) for NLP-driven search architectures and automated B2B query matching. Utilized Redis as a high-throughput messaging queue to optimize semantic search latency.

Led the software development lifecycle for distributed REST applications using Node.js and C++, focusing on memory footprint reduction and API performance tuning for data-heavy platforms.

Master's Degree in Artificial Intelligence with focus areas in Deep Learning, Natural Language Processing, and AI System Design.

Master's Degree in Artificial Intelligence with focus areas in Deep Learning, Natural Language Processing, and AI System Design.

Bachelor's Degree in Computer Science and Engineering.