Hi GitHub Community! 👋

Anjan Mahapatra is a tech-savvy, analytical builder with a strong engineering core and a growing edge in AI/ML products, strategy, growth, and data-driven decision-making. He has worked across manufacturing, construction, and SaaS, contributing to end-to-end product journeys from problem discovery and market research to system architecture, user workflows, growth planning, financial thinking, and go-to-market execution. He blends deep technical understanding with product vision and business strategy, building AI solutions that are not just innovative, but actually scalable and commercially impactful.

With a multidisciplinary background spanning biomedical and computational engineering, Anjan specializes in LLMs, SLMs, AGI, physical AI agents, and agentic AI systems. He enjoys designing intelligent, autonomous systems that connect digital intelligence with real-world applications. His approach combines advanced technical architecture with strategic thinking, usability, growth orientation, and financial awareness, enabling AI-driven products that are scalable, practical, human-centric, and built for long-term impact.

Currently, he is building two of his dream startups: Smarttaxz, a tax and finance consulting firm (currently at the pre-series funding stage), and Arogyavani – Doctor Talks, an AI-driven telecalling healthcare platform focused on improving healthcare accessibility and intelligent patient engagement.

Serving as Reviewer for American Physical Society (APS) and Springer Nature (Mechanical Track).

🔍 Current Focus:

• Build Fintech Domain Knowledge – Learn about payments, lending, investing, credit scoring, fraud detection, and regulations like KYC/AML.

• Leverage AI/ML Expertise – Apply LLMs, SLMs, predictive analytics, and agentic/physical AI agents to fintech use cases such as fraud detection, credit scoring, and intelligent automation.

• Develop Product Management Skills – Create PRDs, define KPIs, map user workflows, and practice prioritizing features for fintech products.

• Focus on UX & Data-Driven Decisions – Design frictionless, trustworthy financial user experiences and make decisions based on analytics and metrics (e.g., transaction success, churn, LTV).

1. Suspension Dynamics of Droplets in Acoustic and Gravitational Fields,
   Jeyapradhap Thirisangu, Anjan Mahapatra*, Karthick Subramani.
   Phys. Rev. Fluids 10, 063602, DOI: 10.1103/PhysRevFluids.10.063602, June 2025.

2. Droplet Dynamics and Control in Microfluidic Platform for Enhanced System Design,
   Anjan Mahapatra*.
   Frontiers in Lab on a Chip Technologies, Royal Society of Chemistry.

1. Optimal Transport PINNs: A Data-Efficient Approach to High-Fidelity Turbulence Modeling
   Anjan Mahapatra* , Nikhil Raj.
   Presented at 5th Mathematical and Scientific Machine Learning, University of Naples, Italy, August 2025.

2. Particle-Fluid Interactions in Acoustically Driven Convection System: A Study on Microbead Dynamics,
   Anjan Mahapatra* , S. Muthu Shravan.
   Presented at 2nd UK Microfluidic Conference, University of Leeds, UK, June 2025.

3. Numerical Investigation of droplets in a vertical minichannel subjected to standing acoustic waves,
   Jeyapradhap Thirisangu, Anjan Mahapatra*, Karthick Subramani.
   Presented at 10th International and 50th National Conference on Fluid Mechanics and Fluid Power (FMFP-2023), IIT Jodhpur, December 2023.

4. Experimental investigation on the influence of acoustic radiation force direction on droplet sorting using BAW,
   Jeyapradhap Thirisangu, Anjan Mahapatra*, Karthick Subramani.
   Presented at International Conference on Fluid Mechanics and Nanoelectronics (ICRAFMN-2023), Manipal Institute of Technology, Bangalore & National Institute of Technology, Uttarakhand, July 2023.

1. Sustainable Green Lubricants,
   Anjan Mahapatra*, Prameet Vats, Arun Kumar Bambam, Avinash Kumar, Kishor Kumar Gajrani.
   Performance Characterization of Lubricants, CRC Press, DOI:10.1201/9781003535447-2, October 2024.

2. Scientific machine learning and physics-based modeling in manufacturing,
   Anjan Mahapatra*, Prameet Vats, Arun Kumar Bambam, Kuldeep Saxena, Kishor Kumar Gajrani.
   Data-driven decision making in advanced manufacturing, ASME, DOI:10.1115/1.889312_ch2, April 2026.

3. Nanofluids in Lubrication and Tribology,
   Arun Kumar Bambam, Prameet Vats, Anjan Mahapatra*.
   Fundamentals and Applications of Nanofluids, Elsevier.

4. Ethics, Policy, and Governance in Sustainable Manufacturing,
   Anjan Mahapatra*, Prameet Vats, Arun Kumar Bambam, Kishor Kumar Gajrani.
   Human-Centric Smart Manufacturing: Industry 5.0 and beyond, ASME.

Looking forward to collaborating and learning from this amazing community! 🚀

Reach out to me and let me know how I can assist you in making your day brighter and better! I would love to serve/ guide/ collaborate with any passionate individual working/ seeking to work in similar areas or require a skill set that I can offer. Email: anjanmahapatra10@gmail.com