Tech Manager | Bridging business strategy, human-centered design, and engineering to build AI-powered products that solve real problems and scale globally.

I'm a product leader and AI engineer passionate about building intelligent systems that solve real-world problems. My work spans the entire AI product lifecycle—from identifying high-value AI opportunities and defining product-market fit, to architecting scalable systems and shipping production-ready applications.

Key Accomplishments:

• 🤖 Enterprise AI Scale: Led nationwide deployment of AI-powered computer vision system achieving 97%+ accuracy across US, Europe, India, and Southeast Asia
• 📈 Data-Driven Growth: Built omnichannel CRM platforms and enterprise systems serving 200+ users with advanced analytics and experimentation frameworks
• 🏛️ AI Research: Published peer-reviewed research on energy systems and smart grid optimization (Springer, IEEE, IOP)
• 🛠️ Full-Stack AI: Design, build, and deploy complete AI systems from LLM applications to vector databases to production agents

Peer-reviewed publications advancing AI and energy systems:

1. Extraction of Maximum Electrical Power from Solar Photovoltaic Based Grid-Tied System
   Advances in Energy Technology - Springer

2. A Novel Fuzzy based Intelligent Demand Side Management for Automated Load Scheduling
   IEEE

3. An Analytical Approach of Integrating Automated Load Scheduling to a Smart Energy Meter using Differential Evolution Algorithm
   Institute of Physics (IOP)

Enterprise computer vision system deployed across multinational organization. Achieved 97%+ accuracy with sophisticated handling of real-world variations. Full architecture spans data pipeline, model training, inference API, and mobile integration across US, Europe, India, and Southeast Asia. Skills: Vision, MLOps, Inference Optimization, Enterprise Scale

Funded research platform for dynamic energy management in buildings with integrated renewable energy. Combines machine learning for demand forecasting with optimization algorithms for load scheduling. Skills: Systems Optimization, Renewable Integration, Predictive Modeling

• Credit Card Fraud Detection - Real-time ML pipeline for anomaly detection using ensemble methods and feature engineering
• Credit Risk Estimation - Classification models for credit risk with explainability and fairness analysis
• HealthPlus - Full-stack wellness app with personalization, loyalty programs, and data analytics
• Marketing Automation Dashboard - Real-time marketing analytics platform with campaign optimization and customer segmentation

• 🤖 Applied AI in consumer and enterprise products
• 📊 Data-driven decision making and experimentation
• 🏗️ Scalable AI system design and architecture
• 🔄 Building feedback loops for continuous improvement

• 🛠️ Full-stack AI engineering and MLOps
• 📈 LLM applications and RAG systems
• 🎯 Agentic AI and autonomous systems
• ⚡ Production deployment and scaling

• 🔮 Foundation models and generative AI
• 🧠 AI agents and multi-agent systems
• 🔐 Responsible and ethical AI
• 🌍 Sustainable AI and green computing

• Programming & Software: Python, SQL, R, C/C++, MATLAB
• Tools & Platforms: AWS, GCP, Azure, MySQL, Postman, Snowflake, Docker, Power BI, Tableau, Databricks, Adobe Analytics, Amplitude, Google Analytics, Looker
• Frameworks: TensorFlow, PyTorch, Scikit-learn, HuggingFace, Amplitude, Linux, Bash Scripting, Ollama
• Data Science: Predictive Modeling, NLP, LLMs, Hyperparameter Tuning, Deep Learning, Optimization Algorithms, Computer Vision

Open to:

• 💼 AI Product Manager roles at frontier AI companies
• 🤖 AI Engineer and ML infrastructure positions
• 🚀 Technical leadership in AI/ML organizations
• 🤝 Collaboration on impactful AI projects and research

Always excited to discuss AI product strategy, building intelligent systems, and the future of applied AI.

✨ Focus on Shipping - Theory matters, but production systems matter more. Every skill is validated through real projects.

✨ User-Centric Design - Whether building for end users or internal tools, understand the problem deeply before optimizing.

✨ Responsible Innovation - Building AI that enhances human capability while managing risks around bias, transparency, and safety.

✨ Continuous Learning - The AI landscape evolves monthly. Stay current through projects, contributions, and the community.

🚀 Currently exploring: Advanced agentic systems, multimodal AI architectures, and the intersection of product strategy and AI engineering
📚 Learning: Cutting-edge AI research, edge AI optimization, and foundation model fine-tuning at scale