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AI Engineer with 1+ years in Generative AI & NLP
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Assessing your cultural and operational fit
Python-first AI & Data Science B.Tech graduate (2025, CGPA 7.7) passionate about building real-world Generative AI applications. Hands-on experience with LLM APIs, NLP concepts, RAG pipeline concepts, OCR-adjacent data processing, and REST API integration. Built and deployed an end-to-end AI system with real-time data processing, automated decision logic, and a live web interface. IBM-certified in Python. Eager to build and scale intelligent chatbot systems at joining as an early team member to ship cutting-edge conversational AI products.
Hindusthan Institute of Technology, Coimbatore
B.Tech · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
Adhiyaman Matric Hr Sec School, Uthangarai
Class 10
N/A – May 31, 2019
Wisdom Matric Hr Sec School, Kallavi
Class 12
N/A – May 31, 2021
QSpiders
QA & AI-Assisted Developer Intern
January 1, 2024 – December 31, 2025
Bengaluru, Karnataka, India
Integrated Healthcare AI System for Mothers & Newborns
January 1, 2023 – December 31, 2024
Built an end-to-end AI chat-adjacent system – real-time sensor data extraction (OCR-adjacent) → Python NLP pipeline → LLM-style automated decision logic → live web dashboard with context-aware alerts. Designed and implemented RAG-style context handling: system retained patient history, applied contextual memory to personalise threshold alerts – directly mirroring ImmverseAI's chatbot memory & personalisation requirements. Engineered prompt-flow-style logic for automated response generation based on vitals data – experimented with NLP classification and GenAI-adjacent decision trees to improve alert response quality. Developed and integrated backend REST APIs for hardware-to-AI-to-dashboard data flow; deployed the full system end-to-end – demonstrating ability to build real-world AI applications from scratch independently.
Python Programming
IBM
June 1, 2026 – Present
Postman API Testing
QSpiders
June 1, 2026 – Present
Selenium WebDriver Automation
QSpiders
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project on an Integrated Healthcare AI System demonstrates a proactive approach to applying AI to real-world problems, aligning with an innovative culture. Their internship as an AI-Assisted Developer and continuous upskilling in LLMs show a strong interest in the target role and a commitment to learning. The breadth of skills across GenAI, NLP, OCR, and backend APIs indicates adaptability and a willingness to explore diverse technical areas. However, the experience level is still early career, which might require mentorship in a senior role.
Soft Skills & Operational Fit
The candidate exhibits a builder mindset, high ownership, problem-solving skills, and fast learning, as evidenced by independently tracking and resolving issues and shipping tasks under tight timelines. Experience in Agile sprints and Git version control indicates an ability to work in collaborative, fast-moving team environments. The role as Class Representative also suggests strong coordination and communication skills.