AI Engineer with 3+ years in Generative AI & LLMs
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AI Engineer with over 3 years of experience specializing in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems. Proven expertise in architecting low-latency voice agents, automating multi-agent workflows, and deploying scalable AI solutions into production environments. Adept at bridging the gap between complex machine learning capabilities and responsive, real-world web applications.
Amity University Online
MCA (AI & ML) · AI & ML
August 1, 2023 – June 30, 2025
JECRC University, Jaipur
BCA
August 1, 2020 – June 30, 2023
CRM Landing Pvt Ltd
AI and App Developer
January 1, 2026 – Present
India
IGCL India
Data Analyst
June 1, 2024 – January 1, 2026
India
Resowin India
Data Analyst
September 1, 2023 – May 1, 2024
India
Fleeca
Data Science Intern
February 1, 2023 – July 1, 2023
India
Bodhitalk AI Voice Agent
January 1, 2026 – Present
• Architected an AI voice agent utilizing Retrieval-Augmented Generation (RAG) and vector databases. • Integrated dynamic UI components and complex backend APIs to ensure seamless, real-time interactions. • Managed end-to-end product deployment, optimizing code logic and queries for low-latency responses.
Multilingual AI Voice Agent
January 1, 2025 – Present
• Built an inbound and outbound AI voice agent for support using Asterisk, STT, and TTS pipelines. • Orchestrated multi-lingual, multi-agent workflows using LLMs and Model Context Protocol (MCP). • Integrated RAG for contextual accuracy and seamlessly synced real-time call data with Salesforce.
Q&A Chatbot
January 1, 2024 – Present
• Developed a Q&A chatbot integrating LangChain and Ollama, automating queries with 90% accuracy. • Designed prompt-retrieval logic enabling multi-turn conversational memory and consistent response flow. • Deployed chatbot for compliance document summarization, improving query response efficiency by 35%.
AI Chat Application
January 1, 2024 – Present
• Built a GPT-like conversational AI using OpenAI API and Streamlit for real-time, context-aware chats. • Engineered caching and message flow pipelines, reducing average system latency by 25%. • Scaled architecture for hybrid local-cloud inference via Ollama, supporting 1,000+ concurrent sessions.
Generative AI with LangChain and Hugging Face
Udemy
June 1, 2026 – Present
Data Science Training
Internshala
June 1, 2026 – Present
Machine Learning in Python
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and hands-on experience in cutting-edge AI technologies, particularly in conversational AI and RAG. This aligns well with an AI Engineer role that typically values innovation and practical application of advanced models. The diversity of projects, from voice agents to chatbots and compliance tools, shows adaptability and a broad technical curiosity. The continuous learning through certifications also indicates a growth mindset. However, the experience is heavily focused on individual contributions, and there's less explicit mention of team collaboration or open-source contributions, which could be areas for further exploration regarding cultural fit in a collaborative engineering environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a proactive approach to problem-solving and a focus on efficiency improvements (e.g., reducing latency, improving accuracy, cutting preparation time). The experience in architecting complex systems suggests strong analytical and design thinking skills. The ability to manage end-to-end product deployment indicates good project management and operational awareness. However, without direct interview data, specific soft skills like teamwork, leadership, or adaptability cannot be fully assessed.