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Atiksh Ghildiyal

@atikshghildiyal

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I build AI-powered backend systems, REST APIs, and enterprise data applications in Python.

India

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What I'm looking for

I'm looking to design intelligent backend systems and AI-driven software solutions, applying Python, LLMs, APIs, databases, and modular architectures to practical enterprise problems.

I've built production-oriented AI backend systems at Tata Capital and ONGC, combining Python, LLM APIs, REST APIs, databases, and modular architectures.

At Tata Capital, I engineered an enterprise email triage pipeline with FastAPI, Ollama, Gmail API, Pydantic, and Docker. I reduced LLM latency by 48%, cut prompt overhead by 72.9%, and improved reliability through atomic Gmail operations, idempotent executors, and 20 domain-specific validation scenarios.

At ONGC, I developed a natural-language query platform that connected Text-to-SQL with retrieval-augmented generation for enterprise documents and databases. I built document ingestion and FAISS retrieval for PDF, DOCX, and TXT files, and added validation to block 13 hazardous SQL commands.

I've also built an explainable candidate ranking system that evaluates 100,000 profiles using 39 engineered features and deterministic scoring. I'm interested in designing intelligent backend systems and AI-driven software solutions.

Experience

Work history, roles, and key accomplishments

Software Development Intern

Tata Capital Limited

May 2026 - Jul 2026 (2 months)

Engineered a modular backend pipeline for enterprise email triage, optimizing LLM inference and improving execution reliability with atomic Gmail API operations and validation suites.

Python fastAPI Ollama Gmail Pydantic Docker Prompt Engineering

Software Engineering Intern

Oil and Natural Gas Corporation (ONGC)

Jun 2025 - Jul 2025 (1 month)

Developed a unified natural language query platform integrating Text-to-SQL and RAG for structured and unstructured data, with schema-aware validation and FAISS-based retrieval.