Experience: A dedicated AI and machine learning professional with 3 years of experience, currently working as a Gen AI Backend Engineer at GridInsight, focusing on AI-powered solutions for electricity bill analysis. Previously, contributed to data science projects at DRDO, including landslide prediction.
Technical Expertise: Proficient in Python, JavaScript, React, TensorFlow, PyTorch, and various machine learning techniques, including fine-tuning large language models (LLM), OCR, RAG, and prompt engineering. Experienced with cloud technologies, including AWS and GCP, and automation tools such as Docker and CI/CD pipelines.
AI Projects: Developed several personal projects, including DocuAssist, an application for document processing with intelligent responses using Google Gemini AI, and My LocalBrowsing Agent, a browser automation tool using Crew AI, Selenium, and computer vision, demonstrating strong problem-solving skills and innovation.
Leadership and Collaboration: At DRDO, managed a diverse team to optimize machine learning models for real-time landslide prediction, fostering innovation and mentorship. Skilled in presenting insights through data visualization to drive data-driven decisions.
Education: Currently pursuing a Bachelor of Engineering in Computer Science and Engineering from Chandigarh University, maintaining a CGPA of 7.94. Also holds certifications in Cloud Computing, Data Mining, and Data Science from prestigious institutions like AWS, Google, and Harvard.
Achievements & Certifications: Completed certifications in Computer Vision, Data Science, and Cloud Solutions from Harvard, NPTEL, iNeuron, AWS, and Google Cloud, enhancing technical proficiency and industry knowledge.