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AI Engineer with 1+ years in AI/ML, Fullstack Development & Cloud
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Assessing your cultural and operational fit
AI Engineer with a Master of Technology in Information Technology and 1.9 years of professional experience, specializing in architecting and deploying AI-powered solutions. Proficient in multi-tenant vector databases, asynchronous document ingestion pipelines, and semantic search, with hands-on expertise in LangChain, FastAPI, React, and AWS. Demonstrated ability to deliver impactful projects, including a full-stack procurement platform and an AI-powered document extraction system, driving significant efficiency gains and secure data handling.
Indian Institute of Information Technology (IIIT Allahabad)
Master of Technology · Information Technology
August 1, 2022 – June 30, 2024
Government Engineering College, Bhavnagar
Bachelor of Engineering · Information Technology
August 1, 2017 – June 30, 2021
HCLSoftware
Software Engineer II (HCL BigFix AEX)
July 1, 2024 – Present
Noida, Uttar Pradesh, India
AI-Powered Supplier Quote Comparison Platform
June 26, 2026 – Present
Architected and deployed a full-stack procurement platform using FastAPI, React 19, SQLAlchemy 2, and PostgreSQL, enabling teams to create RFQs and compare multi-supplier quotes from a single dashboard, reducing manual quote-comparison effort by ~70%. Engineered an AI-powered document-extraction pipeline with LangChain, LangGraph, and OpenAI GPT vision that converts unstructured supplier PDF/CSV quotes into structured records, cutting manual data-entry time from ~10 minutes to under 30 seconds per quote (~95% reduction). Designed a multi-agent orchestration system coordinating 4 specialized AI agents for procurement Q&A and automated supplier-email drafting, with a human-in-the-loop confirm-before-send safeguard and Resend transactional email integration, eliminating ~100% of accidental outbound sends. Configured a containerized CI/CD pipeline with Docker Compose and GitHub Actions (pytest + build gates and SSH-based deploys to a production VPS), enabling zero-touch releases on every merge and reducing deployment time by ~80%. Refactored the codebase into a modular, feature-sliced structure across backend and frontend with a pluggable agent registry and centralized domain-exception handling, improving maintainability and reducing new-feature delivery time by ~40%. Wrote 24+ automated tests with pytest covering core REST APIs and import flows, and delivered a responsive React + Tailwind UI with light/dark theming, sortable/searchable comparison tables, and real-time toast feedback, improving usability and reducing data-entry errors.
Cultural Fit Analysis
The candidate's personal project, 'AI-Powered Supplier Quote Comparison Platform,' showcases initiative and a passion for applying AI to real-world business problems, which aligns well with an innovative culture. Their current role at HCLSoftware involves developing enterprise-grade AI components, indicating an understanding of corporate environments and the need for robust, secure solutions. The breadth of technologies used (Python, Java, C++, JavaScript, TypeScript, various AI/LLM frameworks, databases, DevOps tools) suggests a versatile individual who can adapt to different tech stacks and team needs. The focus on efficiency and automation in their projects also points to a results-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions highlight strong problem-solving abilities, evidenced by their innovative solutions for reducing manual effort and optimizing processes. Their experience with multi-agent orchestration and human-in-the-loop systems suggests an understanding of practical deployment challenges and a focus on reliability. The detailed descriptions of CI/CD implementation and modular code refactoring indicate a commitment to operational excellence and maintainable systems. The candidate's ability to work with diverse technologies across the stack implies adaptability and a proactive learning approach.