Hitesh Parate — CTO
AI Developer Intern at Finvise.ai and B.Tech Artificial Intelligence & Machine Learning (AIML) undergraduate at YCCE, with hands-on experience building production-ready AI systems. Skilled in Python, FastAPI, LLM engineering, and backend system design, with practical experience developing AI agents, Retrieval-Augmented Generation (RAG) pipelines, and scalable AI applications. Experienced with LangChain, LangGraph, Model Context Protocol (MCP), Vector Databases, Redis, Neo4j, and queue-based architectures. Worked on end-to-end AI solutions including document RAG systems, AI-powered APIs, CLI-based coding assistants, conversational voice agents (STT + LLM + TTS), and graph-based memory systems. Strong understanding of LLM fundamentals such as tokenization, embeddings, attention mechanisms, transformers, and prompt engineering for structured outputs using Pydantic. Strong interest in applied AI, backend + AI integration, scalable system design, and real-world AI deployment using tools like Docker, Hugging Face, Ollama, and REST APIs. Actively seeking opportunities in AI Engineering, LLM Engineering, Backend AI Development, and Applied Machine Learning.
Stackforce AI infers this person is a Backend-heavy AI Developer with a focus on scalable systems in the Fintech sector.
Location: Nagpur, Maharashtra, India
Experience: 9 mos
Skills
- Llm Engineering
- Backend System Design
- Financial Analysis
Career Highlights
- Hands-on experience in building production-ready AI systems.
- Expertise in LLM engineering and scalable backend design.
- Strong interest in real-world AI deployment and integration.
Work Experience
GDG YCCE
AIML domain head (2 mos)
Sungenesis Ssolar system
Digital Operations Intern (2 mos)
FinVise AI Tech pvt ltd
Intern (4 mos)
Indian Society for Technical Education
Technical Executive (7 mos)
Shah and associates
Assistant Financial Accountant (3 mos)
Education
at Yeshwantrao Chavan College of Engineering - YCCE
at New English High School & Junior College, Mahal, Nagpur