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AI Engineer with 2+ years in Generative AI, LLMs & Intelligent Automation
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Assessing your cultural and operational fit
AI Engineer with 2+ years of experience in Generative AI, LLMs, Conversational AI, RAG, AI Agents, and intelligent automation. Skilled in Python, OpenAI GPT, LangChain, LangGraph, Prompt Engineering, Vector Databases, REST APIs, and Cloud Deployment, with experience building production-grade chatbots, AI assistants, and enterprise AI solutions.
Lakshmi Narain College of Technology, Bhopal
Bachelor of Technology · Computer Science and Engineering
August 1, 2020 – May 1, 2024
Ascentt AlTek Private Limited
AI Engineer
June 1, 2024 – Present
Pune, Maharashtra, India
Persistent Systems
Data Science Trainee
January 1, 2024 – May 1, 2024
India
Dealer Vehicle Search- AI Enabled Multi-Modal Search & Computer Vision Platform
January 1, 2024 – May 1, 2024
• Developed and deployed the AI-powered Dealer Vehicle Search Platform for one of the world's largest automobile manufacturers, enabling intelligent multi-modal inventory discovery across dealer networks. • Engineered an AI-powered multi-modal vehicle search system (text, voice, image) that improved dealer search efficiency by 45% and reduced manual lookup time by 60%. • Built scalable React + FastAPI architecture with secure authentication and centralized inventory database integration, improving data retrieval speed by 50% and ensuring 99% system reliability. • Implemented NLP-based natural language query parsing and multilingual voice processing, increasing search accuracy by 35% and reducing query ambiguity by 40%. • Developed a deep learning-based image recognition model for visual vehicle matching, achieving 85%+ image similarity accuracy and improving cross-dealer vehicle discovery rate by 30%.
AI Customer Support Chatbot Platform
January 1, 2024 – May 1, 2024
• Designed and developed an enterprise-grade AI chatbot using OpenAI GPT-4, LangChain, and FastAPI to automate customer support operations. • Implemented Retrieval-Augmented Generation (RAG) architecture using vector databases (Pinecone/ChromaDB) enabling accurate responses from internal documentation and knowledge bases. • Developed contextual conversation memory allowing the chatbot to maintain multi-turn interactions and personalized responses. • Integrated backend APIs, databases, and business systems to provide real-time account information and workflow automation. • Built prompt engineering frameworks and response guardrails improving chatbot accuracy while minimizing hallucinations. • Deployed chatbot services on AWS infrastructure with monitoring, logging, and performance optimization. • Achieved 90%+ query resolution accuracy while reducing manual support workload by 50%.
IBM Data Science Certificate
IBM
June 1, 2026 – Present
AWS Cloud Technical Essentials
Coursera
June 1, 2026 – Present
Kaggle Micro-Certifications
Kaggle
June 1, 2026 – Present
Python Data Structures
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience with diverse AI projects (multi-modal search, customer support chatbots) and exposure to different companies (Ascentt AlTek, Persistent Systems) suggests adaptability and a broad interest in AI applications. The focus on enterprise-grade solutions and quantifiable impact (e.g., 45% search efficiency improvement, 90%+ query resolution accuracy) indicates a results-oriented mindset. The blend of academic background and practical certifications further supports a continuous learning culture.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, efficiency improvements, and a focus on reliable system architecture, indicating strong operational fit. The ability to work on complex, multi-modal AI systems suggests good analytical and critical thinking skills. The descriptions also imply a collaborative approach, especially in integrating various systems and working with large manufacturers.