AI Engineer with 1+ years in Python, LangChain & FastAPI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech Computer Science graduate with hands-on experience in building AI-driven applications using Python, LangChain, and FastAPI. Skilled in developing agentic AI systems, Retrieval-Augmented Generation (RAG) pipelines, and LLM-based solutions. Experience in integrating APIs, building intelligent workflows, and deploying scalable AI systems. Seeking an entry-level AI/ML or Agentic AI Developer role.
CMR Technical Campus
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Infoz IT Solutions
Java FullStack Developer
July 1, 2025 – Present
India
Zennial Pro Pvt. Ltd.
Agentic AI Developer
July 1, 2025 – Present
India
Multi-Agent Knowledge Assistant (MAKA)
June 1, 2026 – Present
Built an Agentic AI system using Python, LangGraph, and Gemini with memory architecture (ChromaDB, HuggingFace) to improve contextual responses. Developed a RAG pipeline for document processing and semantic search, improving query accuracy and information retrieval reliability.
Smart Inventory & Dispatch Management System
June 1, 2026 – Present
Implemented role-based authentication, job posting, application tracking, and recruiter dashboards to manage job listings and candidate applications efficiently. Automated stock updates and driver-vehicle allocations, reducing manual work and errors by 70%.
DSA
Infosys SpringBoard
June 1, 2026 – Present
Agile Explorer
IBM SkillBuild
December 1, 2025 – Present
Building Multi Agent Systems with Strands Agents
Analytics Vidhya
October 1, 2025 – Present
Java FullStack
Teks Academy
January 1, 2025 – Present
SQL(Basic)
HackerRank
June 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest and foundational experience in both AI/ML and full-stack development. The 'Multi-Agent Knowledge Assistant' project and 'Agentic AI Developer' internship align directly with the target 'AI Engineer' role, indicating a clear career path and motivation. The 'Smart Inventory & Dispatch Management System' project and 'Java FullStack Developer' internship show versatility and a willingness to work across different technology stacks. The breadth of skills listed (Python, Java, AI/ML tools, databases, frontend basics) suggests adaptability and a continuous learning mindset, which are positive indicators for cultural fit in a dynamic tech environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving and efficiency improvements (e.g., 'reducing manual work and errors by 70%'). Collaboration in an Agile/Scrum environment is mentioned, indicating team-oriented operational fit. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.