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AI Engineer with less than a year in Machine Learning & Deep Learning
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI and Machine Learning enthusiast with experience in designing and implementing machine learning and deep learning models for computer vision and medical image analysis. Proficient in Python and modern frameworks, with a strong academic background and published research. Passionate about applying ML techniques to solve real-world problems while continuously advancing technical expertise.
Rajiv Gandhi University of Knowledge Technologies, Nuzvid
B.Tech · ECE
August 1, 2021 – June 30, 2025
Rajiv Gandhi University of Knowledge Technologies, Nuzvid
PUC
June 1, 2019 – May 31, 2021
NIT Warangal
Deep Learning Intern
January 1, 2026 – Present
India
MSS TECHNO PVT LTD
Python Developer Intern(Data Science & ML)
October 1, 2025 – January 1, 2026
India
Global Trade Compliance AI Chatbot
June 24, 2026 – Present
Developed a domain-restricted AI chatbot using OpenAI API with a RAG-based architecture. Implemented FAISS vector indexing and embeddings for semantic search and context-grounded responses.
Fire Types Classification
June 24, 2026 – Present
Developed a machine learning model for classifying fire types using MODIS satellite data.
Stock Management System
June 24, 2026 – Present
Developed a backend application using FastAPI and PostgreSQL to manage stock data with create, update, delete, and retrieval operations. Implemented user authentication and role-based access control for secure data handling. Deployed the application on Google Cloud Platform.
Medical Image Segmentation
June 24, 2026 – Present
Performed liver segmentation using U-Net and carried out OCT image segmentation.
Fundamentals of Machine Learning and AI
Raspberry Pi Foundation
June 1, 2026 – Present
IoT Expo23
IIIT-Nuzvid
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, including medical image analysis, environmental data classification, and AI chatbot development, indicates a broad interest in applying AI/ML across various fields. The academic background and internship experiences align well with a research-oriented and technically challenging environment. The candidate's self-driven project work suggests initiative and a passion for technology, which are positive indicators for cultural fit in an innovative team.
Soft Skills & Operational Fit
The candidate's project descriptions and experience indicate a proactive and problem-solving attitude, with a focus on applying technical skills to real-world challenges. The involvement in diverse projects (medical imaging, fire classification, stock management, AI chatbot) suggests adaptability and a willingness to explore different domains. The publication also highlights a commitment to research and continuous learning.