AI Engineer with 1+ years in RAG systems, LLM pipelines, and computer vision.
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Assessing your cultural and operational fit
Results-driven AI/ML Engineer with 10+ months of production experience building RAG systems, LLM pipelines, and computer vision applications. Shipped core features of Zyra AI, an AI-powered construction takeoff product, and deployed automation workflows serving real business operations at scale. National Finalist at Smart India Hackathon 2024 out of 50,000+ teams. Seeking AI/ML Engineering roles at product companies and Big Tech.
KCG College of Technology
B.E. in Computer Science Engineering · Computer Science Engineering
August 1, 2022 – June 30, 2026
IntoAEC
Lead AI & Automation Intern
November 1, 2024 – Present
Chennai, Tamil Nadu, India
HERE AND NOW AI
AI Engineer Intern
July 1, 2024 – August 31, 2024
Chennai, Tamil Nadu, India
Nagrik Aur Samvidhan
January 1, 2024 – January 1, 2024
Built a gamified civic education platform to make the Indian Constitution accessible across age groups and literacy levels selected as a National Finalist out of 50,000+ competing teams. Implemented multilingual support and AI-powered interactive assessments covering Fundamental Rights, Duties, Preamble, and Directive Principles; designed for deployment in schools and public institutions.
DocBot
January 1, 2024 – January 1, 2024
Engineered a document-aware medical chatbot using a full RAG pipeline PDF ingestion with PyPDF2, semantic chunking, FAISS vector indexing, and response generation via the Gemini API. Designed for patient-facing use cases where accurate, source-grounded answers from medical documents are critical; architecture supports swapping any LLM backend.
Virtual Calculator
January 1, 2024 – January 1, 2024
Built a real-time gesture-controlled calculator using hand landmark detection via MediaPipe and OpenCV, enabling touchless HCI for accessibility and smart classroom environments.
National Finalist
Smart India Hackathon 2024
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic, personal, and internship projects, demonstrates a broad interest in applying AI to various domains (accessibility, healthcare, civic education, construction). Their participation in a national hackathon and leadership in workshops indicate a collaborative and innovative mindset, aligning well with a dynamic AI engineering culture. The target role of AI Engineer aligns perfectly with their stated experience and aspirations.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight strong problem-solving skills, a proactive approach to building and deploying solutions, and an ability to work on diverse projects. Their involvement in leading workshops suggests good communication and leadership potential. The automation work indicates an understanding of operational efficiency.