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AI Engineer with 3+ years in Conversational AI & LLMs
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AI Backend Engineer with 3+ years of experience designing and deploying production-grade conversational AI systems powered by Large Language Models. Experienced in building low-latency STT → LLM → TTS pipelines, Retrieval-Augmented Generation (RAG), real-time streaming architectures, AI agent workflows, and scalable backend APIs. Specialized in FastAPI, AWS Bedrock, LangChain, vector search, WebSockets, Twilio Media Streams, and production AI inference. Passionate about building reliable, scalable, and intelligent AI applications for enterprise use cases.
CENTRAL UNIVERSITY HARYANA
Bachelor of Technology · Computer Science
January 1, 2019 – January 1, 2023
U2OPIA MOBILE PRIVATE LIMITED
AI Engineer
October 1, 2023 – Present
Gurgaon, Haryana, India
U2OPIA MOBILE PRIVATE LIMITED
AI Engineer Intern
May 1, 2023 – September 1, 2023
Gurgaon, Haryana, India
GRATIA TECHNOLOGY
AI Intern
January 1, 2023 – August 1, 2023
Guwahati, Assam, India
IIT BHU
AI/ML Intern
June 1, 2022 – July 1, 2022
Varanasi, Uttar Pradesh, India
AI Voice Bot System
June 1, 2026 – Present
Built a real-time conversational AI voice bot using STT-LLM-TTS architecture with Twilio integration, enabling low-latency streaming, interrupt handling, and natural voice interactions.
RAG-based Chat System
June 1, 2026 – Present
Developed a Retrieval-Augmented Generation (RAG) system using vector-based retrieval and optimized search pipelines to improve answer accuracy
AI A-Z 2024: Build 7 AI Models & LLMs (Including ChatGPT)
Udemy
June 1, 2026 – Present
Data Science Workshop
Technex, IIT (BHU), Varanasi
June 1, 2026 – Present
Internet of Things (IoT) Workshop
Technex, IIT (BHU), Varanasi
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans multiple AI/ML internships and a full-time AI Engineer role, demonstrating a consistent interest and commitment to the field. The projects, both professional and personal, show initiative and a drive to build complex AI systems. The diversity of projects (voice bots, RAG, computer vision, predictive analytics) indicates a broad technical curiosity and adaptability, which are positive indicators for cultural fit in a dynamic AI environment.
Soft Skills & Operational Fit
The candidate's resume indicates a strong focus on practical application and problem-solving in AI engineering, which aligns well with operational roles. The detailed descriptions of project contributions suggest good communication of technical achievements. However, without direct assessment data, soft skills like teamwork, leadership, and adaptability cannot be definitively evaluated.