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AI Engineer with 1+ years in Generative AI, LLM Workflows & Full-Stack Development
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 Developer with a strong foundation in LLM workflows, AI-powered application development, and NLP/ML engineering. Proven ability to design and build intelligent systems, integrate AI models with robust APIs, and deploy scalable solutions on cloud platforms. Experienced in full-stack development and data analytics, with a focus on creating innovative solutions for real-world problems through hands-on projects and internships.
Sri Sairam Engineering College
M.Tech · Computer Science and Engineering (Integrated)
August 1, 2021 – June 30, 2026
Infosys Springboard
Data Analytics Intern
December 1, 2025 – February 1, 2026
India
Vibhathi Labs India Pvt. Ltd.
Oracle APEX Developer Intern
January 1, 2025 – April 1, 2025
India
Prodigy Infotech
Machine Learning Intern
July 1, 2024 – September 1, 2024
India
Skolar
Full-Stack Web Development Intern
December 1, 2023 – February 1, 2024
India
Elite Eats — Full-Stack Food Delivery Platform
June 1, 2026 – Present
Designed scalable MongoDB schemas and built 15+ REST APIs supporting real-time order tracking, reducing API response time by ~25%. Implemented AI-adjacent API integration patterns for dynamic data handling across a real-time full-stack application.
Medic AI Chatbot — AI-Powered Medical Assistant
June 1, 2026 – Present
Developed an AI-powered chatbot using NLP and deep learning to handle real-time user queries with improved response accuracy and structured error handling. Integrated OpenAI API and LangChain (basic) to build LLM-backed conversational workflows with prompt engineering for safe, medically relevant responses. Connected AI models to an Express.js REST API with safety-focused response filtering and robust error recovery, ensuring reliable, app-facing AI behavior. Deployed on AWS (EC2/S3) ensuring high availability and scalable API handling for real-time inference requests. Conducted data preprocessing, model evaluation, and structured dataset analysis using Python and Google Colab to iteratively improve model accuracy.
Multilingual AI-Powered Voice Assistant for Medical Support
January 1, 2026 – January 1, 2026
Designed and built a multilingual AI voice assistant for medical support, supporting multiple Indian languages via IVR — published as a research paper (January 2026). Integrated Google Gemini API to power natural language understanding and intent recognition across multilingual voice inputs. Built the backend using FastAPI (Python) and the mobile front-end in Flutter/Dart, enabling end-to-end AI-powered voice interaction. Demonstrated expertise in combining LLM APIs, speech interfaces, and mobile delivery to solve a real-world healthcare accessibility problem.
AI-Based Robot for Clog Removal (IoT + AI)
March 1, 2025 – March 1, 2025
Designed an AI-based embedded system for autonomous clog detection and removal in urban drainage, using Kaggle datasets for model training — published March 2025. Integrated sensor data with an AI inference pipeline and a Flutter cloud app to deliver real-time monitoring and remote control capabilities. Applied structured AI problem-solving to a physical-world use case, bridging ML model outputs with IoT hardware actions.
Multilingual AI-Powered Voice Assistant for Medical Support
Unknown
January 1, 2026 – Present
Google Data Analytics Professional Certificate
July 1, 2025 – Present
Designing an Artificial Intelligence Based Robot for Clog Removal
Unknown
March 1, 2025 – Present
DeepLearning.AI Machine Learning Specialization
DeepLearning.AI
February 1, 2024 – Present
Meta Front-End Developer Certification
Meta
January 1, 2023 – Present
AWS Certified Cloud Practitioner
AWS
September 1, 2022 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit for an innovative and fast-paced AI engineering role. Their diverse project experience, including academic research and startup involvement, shows a passion for applying AI to real-world problems. The breadth of skills across full-stack development, cloud, and AI indicates adaptability and a willingness to learn new technologies. The focus on healthcare accessibility and environmental solutions in projects aligns with impact-driven organizational values.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a proactive approach through multiple personal and academic projects, including published research. Their involvement in a startup incubation program suggests an entrepreneurial mindset and ability to work on innovative solutions. Collaboration in Agile workflows is mentioned, indicating team-oriented operational fit. The detailed project descriptions suggest good communication of technical concepts.