Software engineer 3 at JPMorganChase


Bengaluru


Bangalore Urban

Bengaluru Area, India







Master of Technology - MTech, Computer Science
Visvesvaraya National Institute of Technology (VNIT), Nagpur

Bachelor's Degree, Computer Engineering
Vishwakarma Institute of Technology
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As a Senior Engineer at PowerSchool, I focus on developing innovative EdTech solutions by leveraging GenAI and data analytics to generate actionable business insights. My work is supported by hands-on experience in API development and analytical skills. I hold a Master of Technology in Computer Science from Visvesvaraya National Institute of Technology, Nagpur, and a Bachelor of Technology in Computer Engineering from Vishwakarma Institute of Technology. My professional journey includes a strong background in data science, machine learning, and predictive analytics, which I apply to solve complex challenges in the education technology space.
Bengaluru
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Software Engineer at JPMorganChase, Jun 2026 - Present · 5 mos, NL to SQL
Software Engineering Manager at PowerSchool, Dec 2025 - Jun 2026 · 7 mos, Bengaluru
Senior Data Scientist at PowerSchool, Apr 2025 - Nov 2025 · 8 mos, ● Powerschool SIS Data Migration - Engineered and deployed production-grade Generative AI systems to automate large-scale student data migrations, transforming state- and vendor-specific schemas into SIS-compliant formats and reducing manual ETL effort by ~70%. Designed and built an AI-driven ETL automation platform using Streamlit and OpenAI reasoning models, enabling intelligent table discovery, schema matching, column mapping, and automated pipeline generation for complex educational datasets. ● PowerBuddy Engagemen Chatbot - Developed and launched a production intelligent assistant leveraging LLMs to enable parents to query student grades, attendance, and academic metrics via natural language, significantly improving engagement and accessibility of student data. ● Graduation Risk Analysis System - Built and deployed predictive ML models for student risk analysis, using Gradient Boosting Machines (GBM) with extensive data preprocessing, feature engineering, and probabilistic scoring to identify students at risk of delayed or unsuccessful graduation. ● Automated Data Onboarding: Developed a ChatGPT-based solution for schema mapping & transformation, enabling efficient data uploads with reusable SHA signatures. Used Snowflake & Streamlit for seamless onboarding. ● Collaborated cross-functionally with platform, data, and product teams to operationalize AI/ML solutions within existing education technology ecosystems, ensuring reliability, scalability, and compliance with data standards.
Data science Engineer at PowerSchool, Sep 2021 - Mar 2025 · 3 yrs 7 mos, Bangalore Urban
Machine Learning Engineer - Data Science at Sasken Technologies Limited, Aug 2018 - Sep 2021 · 3 yrs 2 mos, Bengaluru Area, India, - Responsible for exploratory data analysis of faults/errors across tamping machines, their temporal distribution, failure type of machine, severity - Experienced in Timeseries anomaly detetcion techniques - Responsible for geospatial analysis of operational and non operational routes of machines based on filters of time,error categories, severity - Responsible for Prediction analytics of failure counts of the machine at monthly, weekly level. - Skilled in integration of Dashboard to project relevant key points to business
Master of Technology - MTech, Computer Science, Visvesvaraya National Institute of Technology (VNIT), Nagpur
Bachelor's Degree, Computer Engineering, Vishwakarma Institute of Technology