Hi GitHub Community! 👋
Anjan Mahapatra is a tech-savvy, analytical builder with a strong engineering foundation and a growing expertise across AI/ML, product management, strategy, growth, and financial decision-making. He has worked across manufacturing, construction, and SaaS, contributing to end-to-end product journeys spanning problem discovery, market research, product strategy, system architecture, user workflows, data-driven analysis, growth planning, financial evaluation, and go-to-market execution. He brings together technical depth, product thinking, business strategy, and financial acumen to build solutions that are not only innovative, but also scalable, commercially viable, and outcome-driven.
With a multidisciplinary engineering and computational background, Anjan focuses on emerging AI paradigms including LLMs, SLMs, AGI, physical AI, and agentic AI systems. He is particularly interested in designing intelligent and increasingly autonomous systems that bridge digital intelligence with real-world applications. His approach combines technical architecture with product vision, strategic thinking, usability, growth orientation, and financial awareness—enabling him to evaluate opportunities not only from a technology perspective, but also through the lens of customers, markets, economics, and long-term business impact.
His interest in finance and investment decision-making is further supported by professional credentials including CAPM®, CFA® Level I, and CIPM® Level I, strengthening his understanding of project management, investment analysis, portfolio performance, and performance measurement. This combination of engineering, AI, product, strategy, and finance allows Anjan to operate at the intersection of technology, business, and capital allocation, with a focus on transforming complex ideas into practical, scalable, and high-impact products.
Currently working at Tvasta Manufacturing Solutions Private Limited - Founder's Office - Product, Revenue, Growth & Business Operations.
Building own three venture-backed startups in high-growth markets (something I am fond of apart from the regular job):
- SmartTaxz — Product, Growth & Investment, Founder (Pravesh Acharya) — technology-first tax & financial consulting platform (Pre-Series Funding Stage | Stealth Mode).
- Arogyavani — Co-founder, Co-founder (Dr. Alisha Mahapatra) — AI-powered multilingual voice platform automating customer engagement at scale (Product Development Stage).
- Humrahi — Co-founder, Co-founder (Vedant Gugale) — AI-powered multilingual voice platform providing personalized assistance and support for elderly people (Product Development Stage).
Serving as Reviewer for American Physical Society (APS), Springer Nature (Mechanical Track), and International Journal of Finance, Accounting and Risk Management.
🔍 Current Focus:
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Build Fintech Domain Knowledge – Learn about payments, lending, investing, credit scoring, fraud detection, and regulations like KYC/AML.
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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.
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Develop Product Management Skills – Create PRDs, define KPIs, map user workflows, and practice prioritizing features for fintech products.
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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).
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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. -
Droplet Dynamics and Control in Microfluidic Platform for Enhanced System Design,
Anjan Mahapatra*, Rithanya Raj.
Frontiers in Lab on a Chip Technologies - Micro- and Nano-fluidics, Frontiers. (Under Review) -
Pricing Strategy in the Manufacturing Sector: An Integrated Modeling Framework ,
Anjan Mahapatra*.
International Journal of Accounting, Finance and Risk Management, Science Publishing Group. (Accepted and Under Publication)
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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. -
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. -
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. -
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. -
Physics-Informed Boltzmann Kinetic Learning for Subgrid-Scale Turbulence Modeling in the Lattice Boltzmann Framework
Anjan Mahapatra*, Nikhil Raj.
To be presented at 13th International and 53rd National Conference on Fluid Mechanics and Fluid Power (FMFP 2026), NIT Rourkela, December, 2026. (Under Review). -
PhysXAI: Diagnosing Physical Hallucinations in Weather and Climate Foundation Models
Nikhil Raj, Anjan Mahapatra*
To be presented at XAI4Science, NeurIPS Workshop, Syndey, Australia, December, 2026. (Under Review). -
An Autonomous Multimodal Agentic AI Framework for Personalized Physiological Monitoring and Early Health-Risk Assessment Using Wearable Sensors
Rithanya Raj, Anjan Mahapatra*
To be presented at IEEE Indicon, Sri Sai Ram College of Engineering, Tamil Nadu, December, 2026. (Under Review).
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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. -
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. -
Nanofluids in Lubrication and Tribology,
Arun Kumar Bambam, Prameet Vats, Anjan Mahapatra*.
Fundamentals and Applications of Nanofluids, Elsevier, DOI:10.1016/B978-0-443-44502-6.00020-7, August 2026. -
Ethics, Policy, and Governance in Sustainable Manufacturing,
Anjan Mahapatra*, Prameet Vats, Arun Kumar Bambam, Kuldeep Saxena, Rajnish Mallick, Kishor Kumar Gajrani.
Human-Centric Smart Manufacturing: Industry 5.0 and beyond, ASME. (Accepted and Under Publication)
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

