Open to opportunities

Sai Sonawane

@saisonawane

Applied machine learning researcher building geospatial AI and computer vision systems for real-world agricultural impact.

India

Message

What I'm looking for

I’m seeking research collaboration to advance machine learning for large-scale real-world problems and social good applications—where I can build geospatial intelligence, responsible explainable models, and reliable AI systems that ship.

I’m an applied machine learning researcher specializing in geospatial intelligence, computer vision, and deep learning. I build systems that move from model performance to real-world decisions—especially in high-stakes agriculture.

Independently, I developed Agri AI, a production-grade satellite-powered agricultural risk intelligence platform integrating multi-source data pipelines, XGBoost, and SHAP explainability. It supports transparent, interpretable risk predictions for loan viability assessment across 300 verified farms, using geospatial feature engineering with satellite imagery and weather signals.

At a precision farming startup under academic mentorship, I work as an AI/ML Research Engineer applying satellite data analysis and geospatial intelligence to crop monitoring, yield estimation, and agricultural risk assessment across real farm environments. I’m also developing ARIA, an autonomous multi-agent AI operating system with planning, memory retrieval, and voice interaction validated across 90+ automated tests.

Alongside research, I’ve contributed through internships and simulations—building Android features with Kotlin, Jetpack Compose, and Firebase, implementing production-like reliability work on a web project with database integration, and analyzing large datasets for environmental health risk patterns. I lead technical initiatives as Tech Co-Head, Computer Society of India and consistently aim to deliver responsible, reproducible AI with measurable impact.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Research Engineer

Current

Precision Farming Startup

Jan 2025 - Present (1 year 5 months)

Developed Agri AI, a production-grade satellite-powered agricultural risk intelligence platform using multi-source data pipelines for loan viability assessment across 300 verified farms. Built ARIA, an autonomous multi-agent AI system with planning, memory retrieval, and voice interaction validated across 90+ automated tests.

Geospatial AI Google Earth Engine XGBoost SHAP Explainability fastAPI Celery Redis GeoJSON

Android Development Intern

AICTE

Jul 2025 - Dec 2025 (5 months)

Implemented Android app features including UI components, activity lifecycle management, and Firebase authentication in a functional multi-screen architecture. Built reusable Kotlin/Jetpack Compose screens and integrated secure user login flows.

Kotlin Android Studio Jetpack Compose Firebase Authentication UI Components Activity Lifecycle

Web Development Intern

Urban Side Walk

Feb 2025 - Mar 2025 (1 month)

Designed and implemented PAYFORYOURSELF, a dynamic pricing feature with real-time database validation and customized user purchase interactions for an early-stage e-commerce platform. Diagnosed and resolved critical database structure failures, improving system reliability under production-like conditions.

JavaScript Database Integration Dynamic Pricing Validation

Data Analytics Simulation

Deloitte Australia (Forage)

Apr 2025 - Present (1 year 2 months)

Analyzed large workplace datasets to identify environmental health risk patterns across factory environments using applied data science techniques. Conducted trend analysis to support real-world occupational health problem framing.

Data Analysis Environmental Risk Identification Trend Analysis Statistical Methods

Education

Degrees, certifications, and relevant coursework

Shah and Anchor Kutchhi Engineering College

Bachelor of Technology, Computer Science and Engineering

Grade: CGPA: 8.61/10 (Sem 1: 8.39, Sem 2: 8.41, Sem 3: 9.05)

Activities and societies: Relevant coursework: Machine Learning (Core, Sem 5), Natural Language Processing (Elective), Data Structures and Algorithms, OOP, DBMS.

Pursuing a B.Tech in Computer Science and Engineering at Shah and Anchor Kutchhi Engineering College, graduating May 2028. Current CGPA is 8.61/10 with early-semester performance including Sem 1: 8.39, Sem 2: 8.41, and Sem 3: 9.05.