AI Engineer with 1+ years in Python, LangChain & REST API Development
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Python & AI Developer (0-1 year) with strong hands-on project experience building AI/ML applications, intelligent automation tools, and chatbots using Python, LangChain, LLM APIs, and modern web frameworks. Proficient in data preprocessing, REST API development, and deploying scalable AI-driven solutions. Strong foundation in OOP, data structures, algorithms, and cross-functional collaboration. Passionate about emerging trends in Python and AI technologies.
Pimpri Chinchwad College of Engineering, Pune
Bachelor of Technology · Computer Science
August 1, 2021 – June 30, 2025
Zensar Technologies Limited
Jr Associate Engineer
September 1, 2025 – December 1, 2025
India
Grovio Pvt Ltd.
Full-Stack Developer
April 1, 2025 – August 1, 2025
India
Deva Defi Pvt Ltd.
Frontend Developer
November 1, 2024 – April 1, 2025
India
AI Blog Generation Agent
June 1, 2026 – Present
Architected a production-style Python multi-agent AI automation system (orchestrator-worker: planner, router, worker, reducer) that autonomously plans, researches, and generates blogs end-to-end. Integrated Tavily for real-time web research and automated citation generation; wrote clean, maintainable, well-documented Python code following software engineering best practices.
YouTube RAG Chatbot
June 1, 2026 – Present
Developed a Python-based intelligent chatbot using RAG architecture implemented data ingestion, preprocessing (Pandas/NumPy), chunking, vector embeddings, and semantic search (FAISS). Built a FastAPI REST API layer for conversational query handling; designed prompt templates and memory management for contextual multi-turn responses via OpenAI API.
Full Stack Web Development
Unknown
June 1, 2026 – Present
API Fundamentals
Unknown
June 1, 2026 – Present
Salesforce Certified AI Associate
Salesforce
June 1, 2026 – Present
Foundation of Cybersecurity
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including an AI Blog Generation Agent and a YouTube RAG Chatbot, along with experience in full-stack development and AI application development, suggests a broad interest in technology and adaptability. The target role of AI Engineer aligns well with their demonstrated skills and project focus. The certifications, while varied, show a commitment to continuous learning. Overall, there is a good indication of cultural fit for a dynamic AI development environment.
Soft Skills & Operational Fit
The candidate demonstrates good operational fit through experience in developing production-style systems and applying software engineering best practices. Their project descriptions indicate an ability to work on complex, multi-component systems. However, without specific psychometric or English test results, soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be objectively assessed.