Shiv Naman Awasthy

AI Engineer at ThoughtSol Infotech Ltd | Ex-Software Engineer @ Deloitte | LLM & AI Systems

Noida, Uttar Pradesh, India

About

AI Developer with 2+ years of experience building intelligent, production-grade applications using Python, React, and modern Generative AI frameworks. Specialized in developing RAG-based chatbots, LLM-powered automation systems, and end-to-end AI solutions for real-world business use cases. Hands-on experience with prompt engineering, vector databases (FAISS, Pinecone), semantic search, and document intelligence systems including OCR-based data extraction. Skilled in designing scalable AI architectures, building REST APIs, and deploying AI solutions on cloud platforms like Azure. Focused on applying AI to solve practical business problems such as automation, knowledge retrieval, and workflow optimization. Continuously learning and building in areas like LLM optimisation, hybrid search, and enterprise AI systems, and actively seeking opportunities to contribute to next-generation AI products.

Experience

  • Artificial Intelligence Engineer at ThoughtSol Infotech Ltd.
    Apr 2026 - Present · 4 mos

  • Software Engineer at Deloitte
    Jul 2023 - Jun 2025 · 2 yrs

    •Worked as a Software Engineer in Innovation team of US based Semi-conductor project. •Actively participated in research and development activities, staying at the forefront of Generative Al. •Built and optimized RESTful APIs and microservice integrations and response times in distributed systems. •Developed application by leveraging Generative Al to reduce the manual effort of care giver by summarizing AUD documents. •Developed full stack application to categorize the UI errors using Deep Learning (BERT model). •Build Gen AI RAG application to help processing prior authorisation leveraging langchain framework. •Developed AI-powered Python automation scripts for data analysis, performance insights, and predictive UI improvements, reducing manual effort by ~30%. •Optimized SQL queries and backend workflows, reducing by ~35%.