Looking for a job

Parth Singh

@parthsingh3

I build production-grade AI products, LLM workflows, and scalable Python backends that solve real-world business problems.

India

Message

What I'm looking for

I’m looking for AI/GenAI, LLM, or Python backend engineering roles where I can build and own reliable, production-grade AI products, LLM workflows, and scalable backend systems from end to end.

I’m a Software Engineer with 5 years of experience building production-grade AI/ML and backend systems, specializing in Generative AI, LLMs, RAG, agentic AI, and Python. At Simbo.ai and TestingXperts, I’ve worked on AI-powered healthcare products, LLM/NLU pipelines, intent detection, sentiment analysis, model fine-tuning with QLoRA, and scalable REST APIs, improving NLU performance by 20–30%.

I enjoy taking AI ideas from prototype to reliable production software, with hands-on experience across Python, FastAPI, PostgreSQL, GCP, LangChain, LangGraph, vector databases, and LLM evaluation.

Outside of my professional work, I’m building Tyvur, a speech-based AI interview SaaS, and GapFoundry, a multi-agent competitive-intelligence platform. I’m particularly interested in AI Engineer, Generative AI Engineer, Applied AI/ML, LLM Engineer, and Python Backend roles where I can build and own end-to-end AI products.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Software Engineer

Current

TestingXperts Pvt Ltd

Jun 2025 - Feb 2026 (8 months)

Built a real-time memory-enabled medical AI Avatar with chat and voice interactions, integrating RAG and deploying on GCP. Leading a team of 5 members and developing multi-agent systems and automated pipelines.

Generative AI Agentic AI RAG GCP Multi Agent Systems Speech to Text Text To Speech Team Leadership

AI Software Engineer

Simbo Inc.

Jun 2021 - Mar 2025 (3 years 9 months)

Developed LLM intent detection, sentiment analysis and response suggestions; fine-tuned open-source LLMs with QLoRA. Built GPT, LLaMA, Claude and Command LLM pipelines for medical data, achieving 80–90% accuracy, with AWS EC2 automation that enabled a new pricing tier. Built REST APIs and improved NLU by 20–30% through critical fixes.