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AI Engineer with less than a year in Machine Learning, Deep Learning, NLP, and Generative AI.
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Data Science graduate with hands-on experience in Machine Learning, Deep Learning, NLP, and Generative AI. Skilled in building and deploying scalable AI applications including RAG-based systems, recommendation engines, predictive analytics models, and NLP pipelines using Python, TensorFlow, PyTorch, LangChain, FastAPI, and Streamlit. Strong foundation in data preprocessing, feature engineering, model optimization, and AI application deployment. Passionate about building scalable AI/ML solutions and seeking opportunities as a Data Scientist, AI/ML Engineer, or Generative AI Engineer.
Sree Vidyanikethan Engineering College
B.Tech · Computer Science Engineering (Data Science Specialization)
August 1, 2021 – June 30, 2025
Board of Intermediate Education, Andhra Pradesh
Intermediate · Mathematics, Physics, Chemistry
June 1, 2019 – May 31, 2021
Board of Secondary Education, Andhra Pradesh
SSC (10th Grade)
June 1, 2018 – May 31, 2019
Strydo Technologies Pvt. Ltd.
Data Science Intern
October 1, 2025 – January 1, 2026
Tirupati, Andhra Pradesh, India
Healthcare Predictive Analytics System for Obesity Risk Classification
June 1, 2026 – Present
-Built a multi-class machine learning classification system to predict 7 obesity severity levels using healthcare and lifestyle datasets, achieving 97% accuracy. -Applied SMOTE for class imbalance handling, improving minority-class F1-score by 18% and enhancing model generalization performance. -Optimized LightGBM models using cross-validation and hyperparameter tuning techniques, then deployed the solution through a Streamlit web application.
View ProjectAI-Powered Medical Chatbot
June 1, 2026 – Present
-Built and deployed a Retrieval-Augmented Generation (RAG)-based medical chatbot capable of answering context-aware healthcare queries using semantic document retrieval and vector search. -Integrated Groq LLM, HuggingFace embeddings, LangChain retrieval chains, and Pinecone vector database to improve answer relevance and reduce irrelevant responses by 35%. -Developed an interactive Streamlit-based AI application enabling real-time conversational interaction and scalable NLP inference workflows.
View ProjectAI-Based Personalized Music Recommendation Engine
June 1, 2026 – Present
-Developed a hybrid recommendation engine combining collaborative filtering and content-based recommendation techniques to generate personalized music suggestions. -Implemented FAISS vector similarity search, reducing recommendation retrieval time by 60% on a dataset containing 10,000+ songs. -Engineered features including genre, lyrics, artist metadata, and audio attributes to improve recommendation accuracy and user personalization.
View ProjectAltair Data Science Master Virtual Internship
AICTE Certified
June 1, 2026 – Present
Google Data Analytics Professional Certificate
Google (Coursera)
June 1, 2026 – Present
IBM Data Science Professional Certificate
IBM (Coursera)
June 1, 2026 – Present
AI Foundation Certificate
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering medical chatbots, music recommendation, and healthcare predictive analytics, indicates a broad interest and adaptability to different problem domains within AI. Their proactive pursuit of multiple certifications (IBM, Google, Infosys, Altair) demonstrates a strong commitment to continuous learning and professional development, which aligns well with a growth-oriented culture. The target role of 'AI Engineer' is well-aligned with their demonstrated skills and project experience in building and deploying AI solutions.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project descriptions, where they address challenges like reducing irrelevant responses in chatbots, improving recommendation retrieval time, and handling class imbalance. Their ability to design and deploy end-to-end ML/DL pipelines suggests good operational fit for development roles. The detailed project descriptions indicate a structured approach to problem-solving and a focus on measurable outcomes.