About
Highly motivated AI/ML Engineer and UX Designer with a proven track record in developing and deploying user-centric digital solutions. Expertise spans intuitive interface design, real-time data visualization, and advanced machine learning systems, evidenced by achieving 92% accuracy in detection systems and boosting chatbot response accuracy by 30%. Passionate about driving engagement, optimizing processes, and delivering measurable outcomes through innovative AI/UX integration.
Work
Hyderabad, Telangana, India
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Summary
As an AI/UX Product Engineer Intern, led the design and deployment of three user-centric interfaces and an advanced handle detection system, significantly improving operational efficiency and user control.
Highlights
Engineered and deployed three critical user-centric interfaces (robot command UI, nurse/admin dashboard, patient checkup flow), integrating real-time data visualization and responsive control to enhance operational oversight.
Developed an advanced end-to-end handle detection and manipulation system utilizing Faster R-CNN and GRU, achieving a 92% accuracy rate and significantly reducing manual intervention by 70%.
Collaborated effectively with cross-functional teams (robotics, design, clinical operations) to iterate on features, implement robust analytics dashboards, and inform data-driven product decisions via usage insights and A/B testing.
Hyderabad, Telangana, India
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Summary
As an AI Trainer Intern, optimized GPT-based responses and curated high-quality datasets for NLP and computer vision, boosting model accuracy and user satisfaction by up to 30%.
Highlights
Refined GPT-based responses to align with user intent, boosting chatbot accuracy and relevance by approximately 30% and significantly increasing user satisfaction across chatbot products.
Executed rigorous fact-checking and prompt engineering, restructuring responses using VS Code, Excel, and internal annotation platforms to ensure consistent tone and factual correctness.
Curated and annotated extensive datasets for NLP and computer-vision pipelines, achieving over 10% gains in model precision and enabling robust, production-ready AI systems.
Education
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Bachelor of Technology (B.Tech)
Computer Science and Engineering (Artificial Intelligence & Machine Learning)
Courses
Artificial Intelligence
Machine Learning
Data Science
User Experience Design
Product Management
Software Development
Natural Language Processing
Computer Vision
Awards
Smart India Hackathon (SIH) Participant/Awardee
Awarded By
Government of India / AICTE
Recognized for participation and achievement in a national-level hackathon, demonstrating innovation and problem-solving skills.
Intercollege Hackathon Awardee
Awarded By
Vignana Bharati Institute of Technology
Awarded for strong performance in an intercollegiate hackathon, showcasing technical proficiency and teamwork.
Languages
English
Skills
Product & UX
Product Thinking, Wireframing, UX/UI Design, User Research, Agile Methodologies, Prototyping, A/B Testing, Design Systems.
Tech & Data
Python, Machine Learning, SQL, MySQL, Git, Natural Language Processing (NLP), Computer Vision, Data Visualization, Prompt Engineering, Fact-Checking.
Tools
Figma, Framer, JIRA, Notion, Trello, Miro, Visual Studio Code, Google Analytics, VS Code, Excel, Internal Annotation Platforms.