Sree Chaitanya Institute of Technological Sciences (2024)
Bachelor of Science
PMR Degree College (2020)
LICENSES & CERTIFICATIONS
Data Science | Innomatics Research Labs
PROFESSIONAL SUMMARY
Result-driven Junior Software Developer with hands-on experience in AI, Machine Learning, and GenAI solutions. Proven ability to build RAG pipelines, semantic search systems, and ML-powered web applications using Python, TensorFlow, and LangChain. Strong foundation in data preprocessing, model development, evaluation, and deployment with experience delivering real-world, production-oriented projects. Demonstrated ability to work on end-to-end AI workflows, from data ingestion and feature engineering to model inference and deployment. Adept at collaborating in fast-paced environments and adapting quickly to new tools, frameworks, and problem domains.
PROFESSIONAL EXPERIENCE
Data Science Intern
Innomatics Research Labs | India | Nov 2025 – Dec 2025
Built an end-to-end AI pipeline to extract skills from resumes and job descriptions and performed semantic matching using vector embeddings.
Developed a Retrieval-Augmented Generation (RAG) chatbot using internal manuals and error logs to deliver accurate troubleshooting responses.
Integrated Large Language Models to generate personalized recruiter outreach emails, reducing manual screening and communication effort.
Implemented embedding-based semantic search with vector databases to improve retrieval accuracy and response relevance.
Designed and deployed Streamlit-based interfaces for real-time interaction with AI-powered applications.
Delivered production-ready AI projects including sentiment classification, obesity prediction, and rent price prediction systems.
Senior Associate
Wipro Pvt. Ltd. | India | Jun 2022 – Dec 2024
Annotated large-scale image and video datasets for autonomous driving systems, including lanes, traffic signs, objects, and pedestrians.
Maintained over 95% annotation accuracy through continuous validation and quality assurance checks.
Corrected data inconsistencies to ensure high-quality datasets for machine learning model training.
Collaborated with teams to improve annotation guidelines and enhance labeling tool efficiency.
Consistently met productivity and delivery targets in a high-volume data environment.