Mayank is a Lead FullStack AI Engineer with 6. 5+ years of experience in designing and deploying AI solutions.
Designed and delivered scalable AI solutions on cloud platforms.
Led projects utilizing FastAPI and Node.js for full-stack development.
Implemented MLOps practices to automate machine learning pipelines.
Optimized performance of AI models using TensorFlow and PyTorch.
LangGraph + MCP multi-agent experience
Graph DB + LLM embedding similarity
Overview: Developed an automated AI interview platform that shortlists candidates by semantically matching CVs with job descriptions. Responsibilities: Designed a Node.js-based orchestration layer for managing interview sessions and integrated Python FastAPI microservices for GenAI workflows, enabling clean separation between AI logic and system orchestration.
Key outcomes:
Reduced response latency by optimizing multi-LLM pipelines.
Implemented live AI voice interviews with low-latency conversations.
Overview: Built a full-stack AI platform that generates complete, runnable applications from a single natural language prompt. Responsibilities: Designed a Node.js-based orchestration layer and implemented Python FastAPI microservices for GenAI workloads, enabling automated GitHub integration.
Key outcomes:
Enabled automated GitHub integration for repository creation.
Optimized large-codebase updates using Vector DB.
Engineered Lead Sense AI, a Generative AI platform designed for lead generation in car showrooms. This solution features a chatbot that engages users and captures leads, utilizing Retrieval-Augmented Generation (RAG) and multi-LLM routing to provide accurate information and enhance customer interactions. Built with Python and FastAPI, it ensures efficient data orchestration and real-time processing.
Developed GAIM, a WhatsApp AI chatbot that allows users to upload documents and ask questions related to their content. This solution leverages a microservice architecture built with FastAPI and integrates with vector databases to provide accurate responses, enhancing business communication and document management.
Led the development of OKBase, a solution for converting PDF documents into structured JSON data using Neo4j for relationship management. This project implements RAG methods for efficient data retrieval and similarity matching with LLM embeddings, streamlining document processing workflows.
Mayank
AI/ML Engineer