Jai Parwani
AI/ML Engineer | Full-Stack Developer
Jaipur, IN.About
Highly motivated and results-driven AI/ML Engineer and Full-Stack Developer with a robust foundation in machine learning pipeline development, Android application engineering, and cross-platform software solutions. Proven ability to build, deploy, and optimize complex systems, from smart energy forecasting models to legal AI chatbots, consistently delivering quantifiable improvements in efficiency and accuracy. Eager to leverage expertise in Python, React, Flutter, and AI frameworks to drive innovation and solve challenging technical problems in a dynamic environment.
Work
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Summary
Developed and optimized end-to-end machine learning pipelines for smart meter energy forecasting and appliance-level load disaggregation for a client in the Philippines.
Highlights
Designed and implemented end-to-end machine learning pipelines for smart meter energy forecasting and appliance-level load disaggregation, enhancing energy management capabilities.
Trained and rigorously evaluated 18 diverse machine learning models (CNN, KNN, RF, SVM, MLP, LSTM) across 5 distinct households and multiple time horizons, optimizing predictive accuracy.
Utilized NILMTK for advanced feature extraction and pre-processing, successfully deploying optimized models to Raspberry Pi for efficient on-device inference.
Developed and delivered a functional prototype with fully reproducible results, validating the feasibility of machine learning for real-time smart energy monitoring solutions.
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Summary
Developed and deployed a barcode scanning and invoice generation Android application, significantly improving operational efficiency and accuracy for sales processes.
Highlights
Engineered and deployed a comprehensive Android application for barcode scanning and invoice generation, significantly eliminating manual billing bottlenecks.
Integrated the ZXing library and automated data export to Tally, resulting in a reduction of data entry time by approximately 10 hours per week.
Conducted effective end-user training sessions for cashiers, boosting app adoption and enhancing operational speed across all sales points.
Optimized inventory and order management processes through a user-friendly UI, leading to improved billing accuracy and reduced service time.
Awards
GATE 2025 Exam (Data Science and AI)
Awarded By
GATE Examination Authority
Qualified for the GATE 2025 Exam in Data Science and Artificial Intelligence with an All India Rank (AIR) of 2270.
Common Admission Test 2024
Awarded By
Test Authority
Achieved 98.45 percentile in the Common Admission Test.
Languages
English
Fluent
Hindi
Native
Skills
Frontend
React, HTML, CSS, JavaScript.
Backend
Flask, FastAPI, Streamlit, Python.
AI/ML
Python, Scikit-learn, Pandas, NumPy, LangChain, OpenAI API.
Dev Tools
Git, GitHub, VS Code.
Databases
SQLite, SQL, MongoDB.
Programming Languages
Java, C, C++, Dart, Flutter.