AI Engineer with 1+ years in LLMs & RAG
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AI/ML Developer specialised in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). Experienced in architecting end-to-end AI automation pipelines that processed 20,000+ enterprise cases with 90-95% reduction in manual effort. Proficient in Python, FastAPI, Apache Kafka, vector databases, and AWS cloud infrastructure.
IIT Madras
B.Sc. · Data Science and Programming
August 1, 2022 – Present
University of Rajasthan
Bachelor of Computer Applications (BCA) · Computer Fundamentals, System Design, Web Development (HTML, CSS, JavaScript)
August 1, 2020 – June 30, 2023
Greenfinch Global Consulting Pvt. Ltd.
AI/ML Developer
August 1, 2025 – Present
Jaipur, Rajasthan, India
Xphora AI Technology Pvt. Ltd.
Python Developer Intern
April 1, 2025 – July 1, 2025
India
Technical Automation Copilot - Document Processing System
June 24, 2026 – Present
• Designed an asynchronous, event-driven document intelligence system using FastAPI and Kafka to extract structured data from PDFs via Google Gemini AI, handling 20,000+ cases with 90-95% manual effort reduction. • Implemented complete pipeline: REST API ingestion → Kafka queuing → AI extraction → JSON field mapping → Salesforce CRM callback, with full lifecycle state tracking in PostgreSQL. • Engineered multi-level resilience with DLQ handling, exponential backoff (up to 5 retries), configurable client-specific field-mapping engine, and AWS S3 secure document storage.
Virtual Teaching Assistant API
June 24, 2026 – Present
• Architected a RAG-based intelligent assistant for IIT Madras course forums using BeautifulSoup scraping pipelines to collect, chunk, and index course content into a semantic vector store. • Integrated OpenAI API with retrieval-grounded prompting to deliver accurate, reference-backed responses within 30 seconds, with multi-turn conversation support and hallucination mitigation.
Cultural Fit Analysis
The candidate's experience with diverse projects, including document processing systems and virtual teaching assistants, demonstrates adaptability and a broad interest in applying AI solutions. The combination of academic background (IIT Madras, University of Rajasthan) and professional experience (Greenfinch Global, Xphora AI) indicates a proactive learning attitude and exposure to different work environments, aligning well with a dynamic, innovation-focused culture.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, system design, and resilience engineering, indicating a strong operational fit for roles requiring robust AI solutions. Collaboration in Agile sprints and participation in code reviews suggest good teamwork and process adherence.