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AI Research Engineer with less than a year in LLMs & Agentic AI Systems
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly skilled B.Tech. student in Electronics & Communication Engineering specializing in AI/ML. Proven ability to build multi-agent AI systems, design RESTful APIs, and optimize backend architectures. Experienced in natural language processing, deep learning frameworks, and full-stack development with a strong focus on scalable and privacy-conscious solutions.
Madan Mohan Malaviya University of Technology, Gorakhpur
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 – Present
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 event loop.
View ProjectCrossBoard
March 1, 2026 – Present
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 – Present
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 2025
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 profile shows a strong inclination towards cutting-edge AI/ML technologies, evidenced by projects like 'WebSurf' and 'Ai-Agent-Sdk', and an internship focused on multi-agent AI systems. The diversity of projects, from low-level Go utilities to complex AI systems, indicates a broad technical curiosity and adaptability. The academic background in Electronics & Communication Engineering, combined with AI/ML certifications and achievements, suggests a strong analytical foundation and a commitment to continuous learning. This aligns well with a research-oriented role that values innovation and deep technical exploration. The candidate's focus on personal projects and self-driven learning demonstrates initiative, which is a positive indicator for cultural fit in a dynamic research environment.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience suggest strong problem-solving skills, an ability to work with complex systems, and a proactive approach to learning and applying new technologies. The migration of a synchronous backend to an async FastAPI architecture demonstrates an understanding of performance optimization and system scalability. Participation in a research publication and competition indicates initiative and a drive for innovation. However, without direct interview data, specific soft skills like teamwork, leadership, and communication in a collaborative setting cannot be fully assessed.