About
Highly motivated Machine Learning Engineer and Co-Founder with proven expertise in developing and deploying advanced AI/ML solutions, including LLMs and computer vision systems. Successfully leveraged Python and Deep Learning to build high-accuracy classification systems and real-time inventory solutions, notably reducing losses by 10% and improving response times by 30% for over 2000 users. Seeking to apply strong technical skills and leadership capabilities to drive innovative, impactful solutions in a dynamic engineering environment.
Work
Noida, Uttar Pradesh, India
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Summary
Led AI and backend R&D for an early-stage startup, developing innovative systems to enhance user engagement and optimize project execution.
Highlights
Directed AI and backend R&D initiatives, developing Deep Learning and FastAPI systems to interpret and respond to human emotions, significantly enhancing user engagement in natural interactions.
Supervised and mentored a team of interns, overseeing research tasks, reviewing work, and steering prototype development, which improved project efficiency and fostered intern skill development.
Gurugram, Haryana, India
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Summary
Designed and deployed a high-accuracy dog breed classification system, ensuring robust performance and enhancing user experience.
Highlights
Designed and deployed a dog breed classification system with 88% accuracy, enhancing user experience by integrating robust unit and integration testing to ensure system reliability.
Noida, Uttar Pradesh, India
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Summary
Developed a real-time, ML-powered camera-based inventory system, leveraging automated test case design to optimize stock management.
Highlights
Developed a real-time, ML-powered camera-based inventory system leveraging automated test case design to verify early stock-out predictions, which reduced losses by 10% and boosted sales.
Noida, Uttar Pradesh, India
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Summary
Completed intensive training in machine learning and deep learning, developing and validating an AI agent for dietary recommendations.
Highlights
Completed comprehensive training in machine learning, neural networks, and deep learning, applying automated testing principles and quality checks.
Developed and validated a Gym Nutrition AI Agent, enhancing the accuracy of dietary recommendations for users through rigorous testing and quality assurance.
Awards
Winner: Agritech Hackathon (Microsoft Azure Sponsored)
Awarded By
Microsoft Azure
Developed an AI-powered stubble fire detection system using satellite imagery, enabling real-time monitoring and early alerts. Designed an interactive dashboard for fire event tracking, showcased to Microsoft engineers during the Grand Finale.
Skills
Programming Languages
Python, Java.
Backend Development
FastAPI, Flask, Git, JWT.
Databases
SQL, MongoDB, Neo4j, Supabase, Vector Databases, Knowledge Graph.
AI & Machine Learning
Machine Learning, Generative AI, LLMs, LangChain, Computer Vision, Deep Learning, Natural Language Processing, Neural Networks.
Cloud & DevOps
Google Cloud (GCP), Docker, CICD.
Automation
Selenium, API Integration.
Libraries & Frameworks
scikit-learn, TensorFlow, PyTorch, NumPy, Pandas, Matplotlib, Seaborn.
Quality Assurance
Software Testing Concepts, Mobile App Testing.
Methodologies
Agile Methodologies.