Headline

Aspiring AI/ML Engineer | Python • Machine Learning • Deep Learning | Built Context-Aware Chatbots & 98.9% F1 Image Classifier using TensorFlow & Scikit-Learn

About

Hi! I’m a B.Tech student in Artificial Intelligence & Machine Learning at CMR Engineering College. I enjoy working on projects where I can apply AI to solve real-world problems, whether it’s in research, environment, or creative applications. I recently interned at ISRO–NRSC, where I worked on the SM_ET_DNN framework to model evapotranspiration (ET, PET, fET) using soil moisture, climate, and radiation data. This experience gave me a chance to combine machine learning with environmental science, which was both challenging and rewarding. Earlier, I built an AI-based Art Image Classifier using an ensemble of CNNs (MobileNetV3 + InceptionV3) to detect defective art exhibits, and deployed it with Flask. That project taught me a lot about deep learning, computer vision, and how to take research models into real applications. Most of my work is in Python and TensorFlow, and I like building models that go beyond experiments—whether it’s training deep learning systems, working with computer vision, or exploring how AI can be applied to scientific problems.

Location

Hyderabad

AI stack

hugging face

langchain

livekit

openai

Work experience

Back End Developer AI at Morpho Technologies Pvt Ltd, Feb 2026 - Apr 2026 · 3 mos, Hyderabad, AI Systems Engineer specializing in multi-agent LLM architectures and retrieval-augmented generation (RAG). Designed resilient multi-model AI infrastructure (Groq + OpenRouter) with automated failover. Built and deployed production-grade AI SaaS platforms with vector search, monetization, and deep learning models. Experienced in research-driven DNN and ensemble CNN implementations for real-world applications.

Machine Learning Engineer intern at Tabbly, Oct 2025 - Nov 2025 · 2 mos, Bengaluru, Karnataka, India

Student Intern at ISRO - Indian Space Research Organization, Jun 2025 - Aug 2025 · 3 mos, Hyderabad, Telangana, India, Research Intern at ISRO-NRSC, worked on Deep Learning-based ET, PET & fET prediction models using environmental datasets; implemented soil moisture threshold automation & CWD drought tracking, achieving 92% accuracy with robust NaN-safe pipelines.

Education

Bachelor of Technology - BTech, Artificial Intelligence, CMR Group of Institutions

12th Grade, MPC, Narayana Junior College - India

Public links

github: https://github.com/roar3691