Co-authored 2 papers in the ML-Physics domain
Published by
Applied Phys. Rev. & J. Mater. Chem. A
Summary
Contributed to two highly cited papers (29 citations to date) in the ML-Physics domain, published in Applied Phys. Rev. & J. Mater. Chem. A.
Highly accomplished AI/ML Product Strategist and Associate Consultant with a proven track record of driving significant business growth and technological innovation across diverse sectors. Leverages deep expertise in AI/ML pipeline development, product leadership, and strategic consulting to deliver measurable outcomes, including multi-million dollar revenue acceleration, operational efficiency gains, and advanced data standardization. Adept at translating complex technical challenges into high-impact product solutions and strategic initiatives.
Founding Team (Tech & Product Strategy)
India, National, India
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Summary
Shipped an AI-powered ARIMA emissions forecasting pipeline, developed a comprehensive dashboard for regulatory reporting, and engineered a fuel-mix modifier.
Highlights
Shipped an ARIMA emissions forecasting pipeline, cutting manual projection time by ~70% for regulatory reporting efficiency.
Built a Scope 1/2/3 dashboard, auto-parsing 20+ emission factors from PDF reports into a structured factor → tCO2 JSON schema.
Engineered a fuel-mix modifier to model emission trade-offs across 5+ fuel types, reducing scenario-analysis time by ~60%.
Demoed product to client leadership (Govt. of AP), shaping 3 product iterations and accelerating pilot onboarding.
Founding Team (Tech & Product Strategy)
India, National, India
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Summary
Led the design and MVP launch of an Agentic AI voice assistant and yield/advisory engine for rural India, securing national recognition.
Highlights
Designed an Agentic AI voice assistant, delivering hyperlocal, dialect-based advisory for 200+ farmers in UP, significantly improving onboarding.
Drove MVP launch of the AI yield & advisory engine in under 60 days, leveraging LangChain & MCP server pipeline aligned with user-needs.
Selected as part of the top 50 founders nationwide for the highly selective IIM Bangalore's NSRCEL Startup Incubation Cohort.
Collaborated with the World Bank's $350M UP Clean Air Management project, supporting scalable agri-tech deployment.
Associate Consulting Intern
Bengaluru, Karnataka, India
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Summary
Drove a 1,300 Cr sales-acceleration program for a top battery OEM across 2 sectors, improving lead-to-sale funnels and advising CXOs on profitability trade-offs.
Highlights
Drove a 1,300 Cr sales-acceleration program for a top battery OEM across EV and telecom sectors, significantly improving lead-to-sale funnels.
Segmented 15+ OEM clusters, mapped 20+ Growth Drivers/KPIs, and quantified demand-supply gaps and price bands to inform strategic GTM initiatives.
Built a GTM strategy of 10+ initiatives, advising CXOs on profitability trade-offs, and sized 300 Cr incremental margin upside.
Automated 8+ Excel-heavy models via a GPT pipeline, achieving 3× faster analysis cycles generation and higher pricing model precision.
Chief Operating Officer
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Summary
Led a team of 30+ volunteers and staff, managed a budget of INR 30 Lac+, and established operational plans to optimize outcomes for a socio-cultural trust.
Highlights
Led a team of 30+ volunteers and staff, managing a budget of INR 30 Lac+ to establish operational plans and optimize program outcomes.
Resolved key logistical bottlenecks through structured data-driven planning, enhancing program efficiency by 25%.
Fundraised 15 Lac+, directly benefiting 500+ underprivileged individuals and delivering monthly meals to 400+ children.
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Bachelor of Science
Chemistry
Grade: CPI: 8.6/10
Courses
Machine Learning and Applications
Computer Systems
Awarded By
Indian Institute of Technology Kanpur
Recognized for achieving Department Rank 1 throughout all semesters in the Chemistry department.
Awarded By
Harvard University
Selected as a delegate amongst the top 2% in India to be a part of HPAIR 2026 at Harvard University, Massachusetts.
Awarded By
E-Summit'23
Achieved silver among 150+ teams by building a $1 Billion fund allocation strategy with sector analysis and ROI modeling.
Published by
Applied Phys. Rev. & J. Mater. Chem. A
Summary
Contributed to two highly cited papers (29 citations to date) in the ML-Physics domain, published in Applied Phys. Rev. & J. Mater. Chem. A.
Python, Rust, Electron, React, FastAPI, SQL, JSON, Git, GitHub, REST Endpoints, Cloud Platforms, Data Structures, Algorithms, Software Development Life Cycle (SDLC).
Management Consulting, Sales Acceleration, Profitability Analysis, Market Segmentation, Growth Strategy, KPI Tracking, Financial Modeling, Cost Savings, Operational Efficiency, Data-Driven Planning, Budget Management, Fundraising, Cross-functional Team Leadership, Strategic Planning, CXO Advisory.
Microsoft Excel (Advanced), GPT Pipeline, Tableau/Power BI (Inferred), VS Code, Jupyter Notebooks.
Problem Solving, Critical Thinking, Analytical Thinking, Communication, Team Leadership, Mentorship, Innovation, Adaptability, Strategic Thinking, Entrepreneurial Mindset, Stakeholder Engagement, Presentation Skills.
Gemini AI, Agentic AI, LLM, LangChain, MCP Server, ARIMA, MiniLM, SISSO Regression, Feature Engineering, Regression Modeling, Data Pre-processing, Correlation Analysis, EDA, Data-ML Pipelines, Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Predictive Modeling, Semantic Similarity, Fuzzy Matching, Statistical Modeling.
Product Strategy, MVP Development, Product Iteration, Product Roadmapping, User Onboarding, Go-to-Market (GTM) Strategy, Market Research, Competitive Analysis, Business Model Innovation, User-Needs Analysis, Stakeholder Management, Agile Methodologies, Scalable Deployment, API Design, UI/UX Principles.
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Summary
Built Omega, a Gemini AI agent designed for 0→1 AI product development, focusing on LLM pipeline and privacy architecture, to automate documentation and enhance privacy.
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Summary
Developed a 4-stage AI compliance pipeline for regulatory traceability, achieving 3rd place in the Microsoft Hackathon.
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Summary
Built a two-stage AI pipeline to standardize free-text medical specialties into NUCC taxonomy codes, winning the HiLabs National AI Hackathon.
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Summary
Designed a Data-ML pipeline to predict bandgaps across 900+ compounds, leveraging feature selection and model interpretability for published research.