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AI Engineer with 2+ years in RAG Systems & LLM Applications
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated AI Engineer with hands-on experience in RAG Systems, LLM Applications, and FastAPI development. Proven ability to build and deploy AI solutions, including document Q&A systems, conversational AI agents, and biometric recognition. Skilled in Python, machine learning, and cloud platforms, with a strong foundation in computer science engineering and relevant certifications in Generative AI and Prompt Design. Eager to contribute to innovative AI engineering roles.
SVR Engineering College
B.Tech · Computer Science Engineering
August 1, 2020 – June 30, 2024
Google Cloud Program (Eduskills)
GenAI Intern
July 1, 2024 – September 1, 2024
India
Altair Engineering Program (Eduskills)
Data Science Intern
April 1, 2024 – June 1, 2024
India
Private Knowledge Q&A System
June 1, 2026 – Present
Built a retrieval-augmented generation system for document-based question answering. Implemented ingestion, chunking, embedding, and vector search pipeline. Added structured prompting and retrieval control to reduce hallucinated responses. Deployed backend using FastAPI with async endpoints and Docker.
View ProjectVoice Lead Qualification Agent
June 1, 2026 – Present
Built a conversational AI agent for automated lead qualification workflows. Implemented memory-based conversation handling and structured outputs.
View ProjectArabic Voice Assistant
June 1, 2026 – Present
Built multilingual voice pipeline integrating speech recognition, LLM inference, and TTS. Handled fallback logic for unstable speech and response failures.
View ProjectFinger Vein Recognition System
June 1, 2026 – Present
Built CNN-based biometric recognition system using preprocessing and augmentation pipelines.
View ProjectPrompt Design in Vertex AI
Google Cloud
June 1, 2026 – Present
Deep Learning for Vision
WorldQuant University
June 1, 2026 – Present
Generative AI Certified Professional
Oracle OCI
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse personal projects (Q&A systems, voice agents, biometric recognition) and internships demonstrate a strong interest and initiative in various AI domains. This breadth of exploration, coupled with certifications, suggests a proactive and continuous learning mindset, which aligns well with an innovative and fast-paced AI engineering environment. The focus on practical application and deployment also indicates a product-oriented approach.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex, multi-component systems. The focus on building complete solutions from ingestion to deployment indicates a practical, results-oriented mindset. However, without direct interview data, it's difficult to assess communication, teamwork, or problem-solving under pressure.