Jay Takalgavankar
Software Engineering Intern
I'm a Software Engineering Intern at The BAAP Company, where I've successfully reduced manual data analysis efforts by over 90%, enabling instant insights from raw datasets. I've developed a Real-Time Logistics Intelligence Platform that optimized delivery operations, cutting route computation time from minutes to seconds and achieving 87% accuracy in ETA predictions. I'm now building my expertise as a Full Stack Developer, focusing on scalable backend solutions and AI-driven analytics integration.
Skills
Projects
Built a real-time IoT crop monitoring system using Arduino sensors, Kotlin(java), and Firebase Realtime Database. Reduced manual crop inspection time from 10–15 minutes to under 5 seconds via automated sensor-driven monitoring. Improved alert and data accuracy by 85–90% using real-time updates and validation checks.
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Built backend services using FastAPI and PostgreSQL to process and analyze 150 delivery records per execution. Optimized database queries using indexing and reduced route computation time from minutes to seconds. Implemented ETA prediction model achieving 87% accuracy on historical datasets. Ensured data consistency and validation across API layers to prevent incorrect routing outputs.
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Built interactive dashboards using React.js and fastapi for real-time and historical market data analysis. Reduced data retrieval latency from seconds to milliseconds through optimized APIs and caching strategies. Improved analytical accuracy by 85–90% via data validation and consistency checks.
View Source CodeExperience
JPMorganChase
May 2026
Built a Spring Boot microservice integrating Apache Kafka for high-volume financial transaction processing. Implemented transaction validation and persistence using Spring Data JPA with H2 SQL database integration. Integrated external REST APIs using RestTemplate and developed secure balance inquiry endpoints. Performed backend testing using Maven and embedded Kafka frameworks ensuring reliable distributed message processing.
The BAAP Company
May 2025 – July 2025
Developed an AI-driven data analytics engine that converts natural language queries into executable SQL using LLMs. Integrated Google Gemini API for Text-to-SQL generation, enabling non-technical users to query datasets effortlessly. Built scalable backend APIs using FastAPI, handling CSV ingestion, schema extraction, and real-time query processing. Executed dynamic queries using Pandas + pandasql, supporting advanced operations like aggregation, filtering, and grouping. Reduced manual data analysis effort by >90%, enabling instant insights from raw datasets. Implemented structured response pipelines with summaries, metrics, and explanations for seamless frontend visualization.
Achievements & Awards
Solved 600+ DSA problems on LeetCode
Achieved 2★ rating on CodeChef by consistently solving competitive programming problems and improving algorithmic skills.(Contest rating:1601)
Secured 98.5 percentile in JEE Main and Top 1.5% in JEE Advanced
2023Awarded Gold Medal at Nukkad for innovation and problem-solving
2024Extra-Curricular
Member, Awaahan Club
2024-2025performed at confluence event
Head of Events, Innovation Cell
2023-presentLed planning and execution of technical events
Participated in CashKaro Campus CEO Case Study Competition representing National Institute of Technology Kurukshetra.
Participated in NationBuilding Case Study Competition 2026 organized through Unstop.
Get in Touch
Interested in collaboration or just want to say hello? Feel free to reach out!