Ganesh Gupta

As a Director and Co-Founder of JalViks, I lead the strategic and technical development of climate-smart agricultural solutions. JalViks is an agritech startup incubated at SINE, IIT Bombay, focused on building end-to-end decision support systems for farmers. Key Responsibilities: Corporate Governance: Oversee legal compliance, board decisions, and strategic partnerships as a member of the Board of Directors. Product Vision: Lead the R&D of our core climate service portal, integrating hyper-local weather forecasting, satellite analytics, and IoT soil moisture data. Team Leadership: Manage a cross-functional team of agronomists, data scientists, and developers to deliver actionable advisories to farmers in Maharashtra and UP. Business Development: Secure pilot projects with organizations like the Lupin Foundation and represent JalViks in high-level innovation forums. Key Milestones: 🏆 Winner: ACCESS Award 2023 at IIT Bombay (Water and Food Sustainability). 🚀 Incubation: Successfully incubated at SINE, IIT Bombay (Society for Innovation and Entrepreneurship). 🌱 Impact: Deployed pilot projects in Maharashtra, bridging the gap between scientific climate data and rural farming communities.

Description: Designed and deployed a comprehensive operational tool for power generation forecasting, facilitating data-driven decisions for energy stakeholders. Key Responsibilities: Full-Stack Development: Architected an interactive dashboard using Python Dash to visualize complex forecasting data, backed by a robust PostgreSQL database for efficient handling of time-series data. Pipeline Engineering: Built an automated forecasting pipeline that integrates and compares multiple predictive models to ensure optimal accuracy in power output predictions. DevOps & Deployment: Containerized the entire application using Docker, ensuring consistent environments and seamless deployment for operational use. Cross-Functional Collaboration: Collaborated with a multidisciplinary team of scientists and students to translate theoretical forecasting research into a functional, production-ready software tool. Stakeholder Delivery: Enabled stakeholders to access real-time power forecasts through the web interface, supporting grid management and operational planning.

Project Role: Project Lead & Researcher (GESH - IIT Bombay) Location: Kaledhon Village, Maharashtra Key Responsibilities & Major Duties: Community Engagement & Network Building: Established a dedicated farmers' network in Kaledhon Village, fostering direct collaboration between the research team and the agricultural community. Digital Literacy Initiatives: Conducted "Digital Awareness" workshops to train farmers on using smartphone-based agricultural tools, bridging the digital divide and ensuring high adoption rates for new technologies. IoT & Hardware Deployment: Led the site-specific installation and calibration of soil moisture sensors across pilot farms to capture hyper-local hydrological data. Product Development (Jalviks Alpha): Designed and deployed the Alpha version of the Jalviks App, successfully integrating real-time sensor feeds with upcoming weather forecasts to provide actionable advisories. Field Validation: Monitored the end-to-end performance of the decision support system (DSS) in real-world conditions, gathering user feedback to refine the app's UI/UX for rural users.

"During my tenure as a Visiting Researcher at the USDA-ARS, I focused on advanced crop modeling techniques using the Geo-EPIC framework. Under the guidance of Dr. Varaprasad Bandaru, I received specialized training in calibrating biophysical models for complex agricultural systems. This expertise serves as the technical foundation for my current PhD research, where I am adapting these global modeling standards to the local context of Nashik, Maharashtra. Specifically, we are implementing the Geo-EPIC model to simulate viticulture systems, aiming to provide precision advisory services for grape farmers."

Strategic Leadership: Spearhead the product roadmap and vision for the JalViks climate service portal, transitioning the project from conceptualization to a prototype MVP incubated at SINE, IIT Bombay. Technical Oversight (AI/ML): Lead the development of machine learning pipelines for hyper-local weather forecasting and soil moisture analytics, ensuring high-accuracy advisories for farmers. Project Management: Orchestrate daily operations and sprint planning, managing cross-functional workflows between agronomy research, satellite data processing, and software development. Stakeholder Engagement: Act as the primary liaison between the technical team, academic mentors at IIT Bombay, and external partners (e.g., Lupin Foundation) to align product features with real-world agricultural needs. Innovation Management: Directed the winning submission for the ACCESS Initiative 2023, focusing on "Water and Food Sustainability" by creating scalable solutions for irrigation planning and crop failure mitigation. Field Implementation: Oversee pilot studies and data validation in target districts, translating complex hydrological data into actionable SMS/app-based insights for end-users.

Working on Project "National Carbonaceous Aerosol Programme: Carbonaceous Aerosol Emissions, Source Apportionment and Climate Effects (NCAP-COALESCE)" (Ministry of Environment, Forest & Climate Change) 1) Development, design, and implementation of an integrated platform which combining a DBMS, python-based software, and a query-based web interface. This platform is meant for Ministries, research institutes, and government agencies. 2) Developed python PyQt5 based software for the algorithm, data processing, and various automation tasks, Meant for IIT Bombay students and faculty members. 3) Used Dash python framework, CSS, and Bootstrap for developing front-end and back-end for query-based Web interface for visualization. 4) Providing innovative inputs and leading the effort to enrich the capabilities of the data portal. 5) Responsible for configuring,integrating and maintaining 1TB+ PostgreSQL Geo-spatial database. 9) Acting as a bridge between the researchers working in the project and the company developing the data portal.

Teaching Optimization techniques, Discrete time modelling and derivative security and stochastic method in finance

Handle international events ,Office work , Faculty international events ,Conducting and Organizing events for delegates

1) Comparison of 92 disease genes (obtained from an ongoing research at Complex Systems Lab, CSIR-IHBT) sequences of Homo sapiens with a model plant genome: Arabidopsis thaliana. 2) Construction and analysis of 481 essential-genes (obtained from an ongoing research at Complex Systems Lab, CSIR-IHBT). 3) Construct a network and analyze it using igraph library of R.

AI/ML for Climate Downscaling: Engineering advanced Machine Learning models to downscale coarse global weather data into high-resolution, farm-scale forecasts. Applying AI/ML techniques to ensure hyper-local accuracy for rainfall and temperature predictions. Generative AI for Agriculture (LLM): Building and fine-tuning a specialized Large Language Model (LLM) to function as an interactive advisory interface. The goal is to translate complex meteorological and agronomic data into simple, actionable natural language advisories for farmers in vernacular languages. End-to-End DSS Architecture: Designing the system framework that synthesizes multi-source data—including satellite imagery, IoT sensor feeds, and weather models—to generate timely alerts for irrigation and crop management.

2 year Master degree in applied Mathematics Relevant courses- Probability and Statistics , Linear Algebra, Optimization, Control theory Master Thesis - "Mathematical Approach of Biological Sequence".Study and application based seminar. The aim is to learn about DNA sequence alignment by using matlab and alignment algorithm. After that analyse the sequence alignment between human gene hexa and mouse gene hexa for Tay-sachs disease. We use matlab programming and tool for this analysis.

4 year Research degree with 3 projects in first 3 years based on Mathematical Modeling and Financial structure