About
Results-driven AI Software Developer with hands-on experience in developing and deploying scalable AI solutions, including YOLO-based object detection, speech recognition, and RAG systems. Proficient in Python, MERN stack, and vector databases, I leverage deep learning and full-stack expertise to build high-impact AI products that enhance operational efficiency and user engagement. Eager to contribute to innovative, fast-paced environments where advanced AI and software engineering intersect to solve real-world challenges.
Work
Hyderabad, Telangana, India
→
Summary
Spearheaded the development and deployment of high-accuracy AI pipelines and user-facing applications, significantly improving operational efficiency and user engagement.
Highlights
Developed a high-accuracy OCR pipeline (98%) using PyTorch, reducing manual verification effort by 60%.
Deployed a GPT-powered quiz generation system on Azure, increasing question relevance by 30% for users.
Integrated optimized RESTful APIs into a React frontend, enhancing UI responsiveness and reducing load time.
Engineered an automated document scanning pipeline, adopted by over 1,000 users and collaborating across platforms.
Bangalore, Karnataka, India
→
Summary
Delivered robust full-stack MERN applications and integrated AI-powered solutions, significantly enhancing user engagement and operational efficiency.
Highlights
Delivered a real-time MERN application with <200ms latency, utilized by 2,000+ users, boosting client engagement by 25%.
Designed 15+ reusable React components and managed 500+ daily payloads using Redux for stable state handling.
Integrated an NLP-based AI chatbot for instant support, cutting support response time by 60%.
Resolved 20+ UI/UX issues, increasing task completion rate by 35% and improving mobile usability.
Skills
Programming & Frameworks
Python, MERN Stack (MongoDB, Express.js, React.js, Node.js).
Computer Vision
YOLOv5/v8, Roboflow, Image Labeling, Object Detection Pipelines.
Audio & Speech
Speech-to-Text Models (Whisper), Audio Preprocessing.
RAG Systems
Retrieval-Augmented Generation, LangChain, Vector DBs (FAISS, Pinecone).
Tools & Practices
Git, AWS, API Integration, Prototyping, Performance Tuning, Startup Collaboration.