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Hi, I’m Sachit Kumbhat, a Hyderabad-based Full Stack AI Engineer focused on building scalable enterprise applications and AI-driven solutions. I enjoy turning complex problems into robust microservices, RAG pipelines, and real-time interfaces that deliver tangible business impact. I thrive in fast-paced startup environments where collaboration with product and data teams accelerates learning and value delivery. I’m passionate about performance, reliability, and continuous learning. I combine strong software engineering skills with AI know-how to ship end-to-end solutions—from data ingestion and model serving to user-facing dashboards and integrations that drive retention and revenue growth.…Hi, I’m Sachit Kumbhat, a Hyderabad-based Full Stack AI Engineer focused on building scalable enterprise applications and AI-driven solutions. I enjoy turning complex problems into robust microservices, RAG pipelines, and real-time interfaces that deliver tangible business impact. I thrive in fast-paced startup environments where collaboration with product and data teams accelerates learning and value delivery. I’m passionate about performance, reliability, and continuous learning. I combine strong software engineering skills with AI know-how to ship end-to-end solutions—from data ingestion and model serving to user-facing dashboards and integrations that drive retention and revenue growth.

Sachit Kumbhat

Full Stack Developer, AI Engineer, Data Scientist, +3

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Hi, I’m Sachit Kumbhat, a Hyderabad-based Full Stack AI Engineer focused on building scalable enterprise applications and AI-driven solutions. I enjoy turning complex problems into robust microservices, RAG pipelines, and real-time interfaces that deliver tangible business impact. I thrive in fast-paced startup environments where collaboration with product and data teams accelerates learning and value delivery. I’m passionate about performance, reliability, and continuous learning. I combine strong software engineering skills with AI know-how to ship end-to-end solutions—from data ingestion and model serving to user-facing dashboards and integrations that drive retention and revenue growth.…Hi, I’m Sachit Kumbhat, a Hyderabad-based Full Stack AI Engineer focused on building scalable enterprise applications and AI-driven solutions. I enjoy turning complex problems into robust microservices, RAG pipelines, and real-time interfaces that deliver tangible business impact. I thrive in fast-paced startup environments where collaboration with product and data teams accelerates learning and value delivery. I’m passionate about performance, reliability, and continuous learning. I combine strong software engineering skills with AI know-how to ship end-to-end solutions—from data ingestion and model serving to user-facing dashboards and integrations that drive retention and revenue growth.

Available to hire

Hi, I’m Sachit Kumbhat, a Hyderabad-based Full Stack AI Engineer focused on building scalable enterprise applications and AI-driven solutions. I enjoy turning complex problems into robust microservices, RAG pipelines, and real-time interfaces that deliver tangible business impact. I thrive in fast-paced startup environments where collaboration with product and data teams accelerates learning and value delivery.

I’m passionate about performance, reliability, and continuous learning. I combine strong software engineering skills with AI know-how to ship end-to-end solutions—from data ingestion and model serving to user-facing dashboards and integrations that drive retention and revenue growth.

Skills

Experience Level

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Work Experience

Full Stack AI Engineer at Turium AI

July 1, 2025 - Present

Designed and deployed a production-grade RAG pipeline combining lexical (BM25), cosine similarity, and vector-based retrieval (HNSW via Milvus). Implemented scalable document ingestion, custom chunking, and batch-size tuning to boost document relevance and cut search latency by over 60%. Built fault-tolerant, idempotent workflows with Temporal.io and containerized services via Docker and Kubernetes, achieving near-zero downtime across 7+ microservices. Optimized embeddings with text-embedding-3-large and FAISS-like clustering to reduce memory footprint by ~40% while preserving semantic accuracy. Implemented real-time LLM-powered chat interfaces (GPT-4-turbo + internal retriever) with adaptive caching and retrieval tuning to improve response times and engagement. Improved backend via async I/O, API batching, and Yarn optimization, resulting in multi-fold throughput gains and ~50% latency reduction. Automated enterprise approvals and workflows using n8n, achieving >95% process automation

SDE Intern at Akrivia HCM

November 1, 2024 - June 1, 2025

Enhanced platform performance by 15% through Angular front-end optimizations, Node.js/Nest.js back-end API tuning, MongoDB query tuning, and modular refactoring. Optimized database indexing and query patterns, reducing report generation time and backend load. Implemented a microservices-based architecture using Kafka for event-driven communication and Redis for caching and session management, improving system responsiveness and scalability. Built and maintained CI/CD pipelines using GitHub Actions, reducing deployment cycles and improving release reliability. Built an AI-based resume parsing solution using TF–IDF, BERT embeddings, and cosine similarity scoring, substantially improving candidate-job match accuracy.