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AI Engineer with 5+ years in Generative AI, LLMs & RAG Systems
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AI Engineer specializing in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems. Experienced in designing and deploying production-grade AI systems, including semantic search engines, AI agents, forecasting pipelines, and computer vision solutions. Strong expertise in LLM integration, prompt engineering, embeddings, vector databases, and scalable backend architectures using FastAPI and cloud platforms. Proven ability to deliver AI solutions with measurable business impact.
University of Hertfordshire
MSc · Artificial Intelligence & Robotics
N/A – Present
Smart IT Pros, Inc.
IT Specialist
August 1, 2023 – December 1, 2025
India
OFB
Python Developer / AI Mentor
November 1, 2020 – May 1, 2023
India
AI Resume Screening System (LLM-Ready NLP Pipeline)
June 2, 2026 – Present
Built semantic matching system using Sentence-BERT embeddings. Designed ranking pipeline combining semantic similarity and keyword scoring. Developed FastAPI API for real-time resume evaluation. Reduced manual screening time by 70%. Designed system extensible to LLM-based candidate evaluation.
Reinforcement Learning Robotics System
June 2, 2026 – Present
Built reinforcement learning system using Q-learning algorithms. Simulated autonomous navigation with obstacle avoidance. Optimized path planning in dynamic environments.
Computer Vision Quality Detection System
June 2, 2026 – Present
Built CNN-based defect detection system using OpenCV. Implemented real-time image processing pipeline. Achieved 92%+ accuracy in defect detection.
Enterprise AI Knowledge Assistant (RAG + AI Agent + SaaS Platform)
June 2, 2026 – Present
Built a production-grade Retrieval-Augmented Generation (RAG) system using embeddings and vector search. Implemented document chunking, embedding generation, and FAISS-based vector retrieval. Integrated Large Language Models (LLMs) for context-aware response generation. Developed AI agent with multi-step reasoning and tool-based execution. Implemented conversation memory for contextual interactions. Designed backend using FastAPI with scalable microservices architecture. Implemented authentication (JWT), API usage tracking, and multi-user architecture. Improved enterprise document retrieval efficiency by 80%+.
Retail Demand Forecasting System (ML + Deep Learning)
June 2, 2026 – Present
Developed forecasting models using ARIMA, Prophet, and LSTM. Engineered features for trend, seasonality, and lag-based predictions. Processed large datasets using Apache Spark pipelines. Reduced overstock costs by 18%.
AI Chatbot Automation System
June 2, 2026 – Present
Developed NLP-based chatbot using intent classification and semantic search. Automated customer support workflows, reducing workload by 50%. Designed system extensible to LLM and RAG-based conversational agents.
Generative AI Learning Path
June 1, 2026 – Present
Prompt Design & Responsible AI
Google AI
June 1, 2026 – Present
AWS Certified Solutions Architect (Professional)
Whizlabs
June 1, 2026 – Present
Prompt Engineering
Anthropic Claude (Skilljar)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from RAG systems and AI agents to computer vision and reinforcement learning, indicates a broad interest and adaptability to various AI domains. Their experience in mentoring and evaluating technical candidates suggests a collaborative mindset and an understanding of industry standards. The focus on delivering measurable business impact aligns with a results-oriented culture. The certifications in Prompt Engineering and Generative AI show a proactive approach to staying current with emerging technologies.
Soft Skills & Operational Fit
The candidate's experience as an AI Mentor and IT Specialist (evaluating candidates, designing solutions for RFPs) suggests strong communication, problem-solving, and strategic thinking skills. Their project descriptions indicate an ability to translate complex technical concepts into business value. The remote work experience also points to self-management and adaptability.