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AI Engineer with 2+ years in Generative AI & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Generative AI Engineer with 2.9 years of experience building AI-powered applications, wearable AI integrations, and intelligent automation solutions. Experienced in developing AI Agents, RAG Pipelines, and LLM-powered systems using OpenAI, Claude, LangChain, FastAPI, and Vector Databases. Strong foundation in system design, scalable backend development, and delivering low-latency AI solutions for real-world applications.
Visvesvaraya Technological University
Bachelor of Engineering (B.E.) · Computer Science and Engineering
August 1, 2018 – June 30, 2022
Tech Mahindra (CW at Meta)
Software Engineer (Generative AI)
September 1, 2023 – Present
Bengaluru, Karnataka, India
AI Chatbot with RAG (LLM Application)
June 29, 2026 – Present
Built an AI chatbot using RAG, embeddings, and semantic search for context-aware responses Implemented LangChain and FAISS/Pinecone-based retrieval for conversational AI
AR/VR Meta Smart Glasses Assistant
June 29, 2026 – Present
Developed an AI-powered assistant for AR/VR smart glasses using computer vision and LLMs Integrated real-time visual processing and low-latency AI responses for wearable AI experiences
Blind Assistance System using Machine Learning
June 29, 2026 – Present
Built a vision-based assistance system for visually impaired users Added object detection and speech-based navigation support using Google Web Speech API
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in AI applications, from conversational AI to assistive technologies and AR/VR. Their professional experience at Meta further indicates an ability to adapt to cutting-edge technologies and contribute to large-scale, impactful projects. The breadth of skills listed (programming languages, AI/ML concepts, frameworks, databases, core CS) suggests a versatile and adaptable individual who can contribute to various aspects of AI development.
Soft Skills & Operational Fit
The candidate's experience at Meta (via Tech Mahindra) suggests an ability to work in a fast-paced, high-demand environment and collaborate with cross-functional teams. The project descriptions indicate problem-solving skills and an understanding of real-world application challenges, such as low-latency responses for wearable AI. The English test score of 84 indicates good communication clarity.