AI Engineer with 1+ years in LLMs & RAG for scalable AI-powered systems.
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AI/ML Developer with a strong foundation in building and optimizing AI-driven pipelines and conversational systems. Experienced in leveraging LLMs, embeddings, and vector retrieval to create scalable solutions for learning management systems and tooling platforms. Proven ability to improve efficiency, accuracy, and performance in complex AI/ML projects while also contributing to frontend development for enhanced user experiences.
College of Engineering Roorkee (U.T.U)
Bachelor of Technology · Information Technology
September 1, 2021 – July 1, 2025
Athena Learning Management System Pvt Ltd.
AI/ML Developer
May 1, 2025 – Present
India
Indian Institute of Technology (IIT) Roorkee
Frontend Developer Intern
June 1, 2024 – August 1, 2024
Roorkee, Uttarakhand, India
MCPNodeHub
June 1, 2025 – Present
Built a production-grade AI tooling platform enabling LLM-driven workflows and direct execution pipelines, deploying containerized services via AWS ECS, handling 1000+ requests/day. Engineered backend orchestration for container provisioning, execution, and response delivery, accelerating processing speeds by 40% and doubling overall throughput. Implemented secure authentication, logging, monitoring; improved uptime 99.9%, reduced failures 30%.
Memex Agent
June 1, 2025 – Present
Developed a reusable AI agent memory framework published as an NPM package, improving multi-session contextual continuity by 50%. Constructed a modular plug-and-play memory system compatible with RAG pipelines and LLM ecosystems, improving response relevance by 30% while reducing latency by 35%. Optimized embedding retrieval pipeline, achieving 2x faster queries and 25% lower resource usage.
View ProjectOracle Cloud Infrastructure 2025 Certified AI Foundations Associate
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Oracle Cloud Infrastructure 2025 Certified Generative AI Professional
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June 1, 2026 – Present
Oracle AI Vector Search Certified Professional
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June 1, 2026 – Present
Oracle Cloud Infrastructure 2025 Certified Data Science Professional
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Model Context Protocol (MCP): Advanced Topics
Unknown
June 1, 2026 – Present
Model Context Protocol (MCP)
Unknown
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Cultural Fit Analysis
The candidate's personal projects (Memex Agent, MCPNodeHub) demonstrate initiative and a passion for AI/ML development outside of formal employment. The diverse technical stack used across projects and experience (frontend, full-stack, AI/ML) suggests adaptability and a broad interest in technology. The certifications further reinforce a proactive learning attitude, which aligns well with a dynamic tech culture.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration in an Agile team and leadership in system architecture design, suggesting good teamwork and initiative. The focus on performance optimization and robust system implementation (authentication, logging, monitoring) indicates an operational mindset. However, without direct assessment data, these are inferred from project descriptions.