AI Research Engineer with less than a year in LLM Tool-Use & FastAPI
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Assessing your cultural and operational fit
Highly motivated Electronics & Communication Engineering student with 5 months of hands-on experience in AI research and full-stack development. Skilled in building multi-agent AI systems, designing RESTful APIs with FastAPI, and leveraging advanced technologies like LLMs, PostgreSQL, and Go. Proven ability to reduce API latency and implement robust, scalable applications, demonstrated through impactful projects like WebSurf and Ai-Agent-Sdk.
Madan Mohan Malaviya University of Technology
B.Tech · Electronics & Communication Engineering
August 1, 2023 – June 30, 2027
D.A.V. Sr. Sec. Public School
Intermediate
June 1, 2023 – May 31, 2023
D.A.V. Sr. Sec. Public School
High School
June 1, 2021 – May 31, 2021
SIHO Research
Algorithm Research Intern
July 1, 2025 – November 1, 2025
Noida, Uttar Pradesh, India
Ai-Agent-Sdk
March 1, 2026 – June 1, 2026
Engineered an Agentic SDK with high-level abstractions for tool registration, MCP protocol integration, and persistent semantic memory. Implemented a fully non-blocking async execution pipeline for agent orchestration, ensuring concurrent LLM invocations, tool calls, and memory operations without blocking the the event loop.
View ProjectCrossBoard
March 1, 2026 – June 1, 2026
Self-hosted cross device sync, clipboard sharing and webSocket-based remote input control, and file transfer utility tool compiled as a single standalone Go binary with seamless integration across platforms.
View ProjectWebSurf
October 1, 2025 – June 1, 2026
Agentic browser automation system executing natural language goals via LLM-driven Playwright - autonomous navigation, extraction, and multi-step task execution with self-correction. Implemented a full-stack architecture with JWT-based authentication, isolated browser profiles, and local-first privacy design using FastAPI + Agentic AI + Mcp Protocol + PostgreSQL + OAuth2.
View ProjectIEEE UPCON 2025– Paper Published: “IoT-Integrated ESP32 Smart IR Remote with Dynamic Learning"
IEEE UPCON
December 1, 2025 – Present
Ai Agent Architect
IBM
August 1, 2025 – Present
Winner- AI/ML IoT Workshop Competition
Drone & IoT Club, MMMUT Gorakhpur
April 1, 2024 – Present
Cultural Fit Analysis
The candidate's personal projects showcase a high degree of initiative, self-direction, and passion for AI and distributed systems. The diversity of projects, from agentic AI to cross-device synchronization, indicates a broad technical curiosity. The involvement in a research internship and academic achievements (paper publication, competition win) suggest a strong drive for innovation and continuous learning, which are positive indicators for cultural fit in a research-focused environment. The candidate's current education level (B.Tech, ending 2027) suggests they are still early in their career, but their project and internship experience are advanced for their academic stage.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience suggest strong problem-solving abilities, a proactive approach to learning new technologies, and an aptitude for building complex systems. The focus on agentic AI and LLMs indicates a strong interest and potential fit for research-oriented roles. The migration of a synchronous backend to async FastAPI demonstrates an understanding of performance optimization and system scalability.