PRATHAMJAIN
Data Engineer & Machine Learning Engineer
As a passionate and dedicated software engineering student at the Indian Institute of Information Technology, Raichur, I bring a robust understanding of Python, SQL, and data structures to the table. With hands-on experience in AI-driven solutions, Big Data Analytics, and Cloud Computing, I have a proven track record of delivering innovative and scalable solutions. From optimizing HVAC systems with Bosch to pioneering a breast cancer screening system, I thrive on transforming complex challenges into opportunities for growth. My work extends beyond academics into hackathons and competitions, where I've consistently secured top positions. As a PR leader, I also excel in communication, team mentorship, and strategic collaboration. Let’s connect if you’re looking for someone who can blend technical expertise with creative problem-solving to drive impactful results.
Luminous Power Technologies (P) Ltd
Feb 2025 - Present
Data Engineer
Feb 2025 - Present
Gurugram, Haryana, India
- 1Built a Cache Augmented Generation (CAG) chatbot backend on Azure using FastAPI, Gunicorn, and Nginx. (Demo)
- 2Engineered offline-first Local Architecture with CosmosDB, reducing query latency by 78% for 10K+ users.
- 3Developed dynamic agents using CrewAI and Azure Functions, cutting hallucinations by 18.6% and inference cost by 30%.
- 4Integrated Azure Bedrock agents to minimize latency by 88%, improving customer satisfaction score by 7%.
Bosch Global Software Technologies
Mar 2024 - Feb 2025 · 11 months
Research Assistant
Jul 2024 - Dec 2024
Raichur, Karnataka, India
Multimodal AI-Powered Breast Cancer Screening System
Jan 2024 – Nov 2024
- 1Spearheaded a pioneering research initiative to develop a world-first inter-disciplinary multimodal screening system, achieving an 80% reduction in second screening time
- 2Integrated and tested mammogram and pathology-based approaches for accurate diagnoses, achieving 96.8% accuracy (p<0.05)
- 3Collaborated with medical professionals to validate and refine the AI model
Research Assistant
Mar 2024 - Feb 2025
Raichur, Karnataka, India
AI-Driven HVAC Efficiency Optimization
Mar 2024 – Nov 2024
- 1Designed and implemented a real-time data pipeline for AI models, focusing on energy, fuel, and electricity consumption in HVAC systems
- 2Conducted data wrangling and warehousing of IoT signals to support AI-driven insights
- 3Conducted regular peer reviews of AI models to ensure accuracy and compliance with internal standards, iterating on feedback to continuously improve performance
- 4Deployed the solution on NXT platform for production use
Languages
Frameworks
Cloud
DevOps
Data Engineering
Database Systems
Foundations
Advanced Topics
Visualisation
Additional Skills
Freelance Software Engineer
NeoCFO
Jan 2025 - Mar 2025 Gurugram, Haryana, India
- Utilized agents to fetch data from business tools (e.g., Salesforce, HubSpot) and user data in S3 buckets, enabling dynamic query analysis for revenue forecasting and marketing budget optimization
- Deployed APIs using PM2 on serverless EC2 instances and Lambda to process user queries sourced from CRM systems
- Trained prediction models on acquired data asynchronously for reasoning models, enhancing backend intelligence
Business Intelligence Growth Analyst
YourGuide
Aug 2022 - Oct 2022 Hyderabad, Telangana, India
- Leveraged business intelligence tools to optimize intern onboarding processes, reducing HR time by 50%
- Developed data-driven pitch decks, combining market research and HR analytics, which were instrumental in securing seed funding
- Analyzed internal communication patterns and enhanced strategies to improve team collaboration and proactive problem-solving
Market Research Analyst
YourGuide
Jan 2022 - Aug 2022 Hyderabad, Telangana, India
- Conducted market research and survey design, impacting over 500 users
- Provided actionable insights from detailed analysis, guiding business decisions
Database Developer
Raichur Institute of Medical Sciences
Aug 2024 - Present 10 months
- Identified and Addressed Key Challenges: Discovered that the Pathology Department at RIMS relied on physical storage for medical records, leading to difficulties in searching and accessing relevant slides due to the high cost and inefficiency of physical archives. Developed Digital Solution: Designed and implemented a comprehensive digital archive system using MongoDB and Streamlit. This solution was aimed at transitioning the pathology department from expensive physical storage to a…Show more
Student Volunteer
National Service Scheme
Dec 2021 - Present 3 years 6 months
Head of Public Relations
Indian Institute of Information Technology, Raichur
Sep 2022 - Present 2 years 9 months
Student Mentor
E-Cell, IIIT Raichur
Nov 2024 - Present 7 months
Shruti Jaiswal
Artificial Intelligence Specialist
Mentor (January 6, 2025)
Suresh Chavhan
Assistant Professor, Indian Institute of Science Education and Research, Thiruvananthapuram | Ph.D. (IISc) | Postdoc (UFPI, Brazil) | SMIEEE (USA) | NITK Surthakal
Managed directly (October 12, 2024)
Jahnvi Tiwari
Assistant Professor at IIIT Raichur
Managed directly (October 7, 2024)
Mitalee Agrawal
Cybersecurity Enthusiast | LinkedIn - Top Creative Problem Solving & PR Voice | e4m 40 under 40 PR & Corp Comm| Dynamic Women Leader - Comm | Grand Queen - Corporate Comm | Stri Shakti 2025 | 2X Chanakya Awardee
Mentor (October 5, 2024)
Postman API Test Automation
Canvas Credentials (Badgr)
Credential ID: 680b5cfc2cd1e656e70353a9
See credential
Lean Six Sigma Green Belt Certification – Level II
TÜV SÜD
Intuitive SQL For Data Analytics
freeCodeCamp
AWS Certified Cloud Practitioner (CLF-C02)
Amazon Web Services (AWS)
Cloud Computing by IIT Kharagpur
SWAYAM MHRD
Credential ID: NPTEL24CS118S1050201037
Machine Learning From Theory to Practice
Indian Institute of Technology, Kanpur
Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft
SolarWise: Dynamic AI-Driven Energy Management Cloud Solutions
Oct 2024
- SolarWise is the winning entry prepared for Luminous TechnoX Hackathon 2024, it leverages IoT devices for real-time monitoring of solar power generation, battery levels, and energy savings while integrating Time-of-Use (TOU) tariff data for cost-aware decision-making.
- The system achieves 95% precision in anomaly detection and provides AI-powered predictions using lightweight Linear Regression models with R² > 90% for user consumption forecasting and LSTM models with 92% accuracy for TOU tariff predictions.
- Smart scheduling is powered by Mixed-Integer Linear Programming (MILP), ensuring 100% optimal energy usage, supported by Z-Score-based anomaly detection with over 95% precision.
- The tech stack includes AWS IoT Core and Kinesis for real-time data streaming, Amazon S3, DynamoDB, and Aurora for storage, and analytics powered by AWS Athena and OpenSearch. Stream processing with Amazon EKS and real-time dashboards via Grafana, integrated with PostgreSQL and Neon Databases, enable efficient visualization. With metrics like 99.5% uptime, adaptive scheduling, and AI models optimized for accuracy, SolarWise delivers a robust, scalable, and user-centric energy management solution.Show less
Flipkart_Grid_6.0 - Smart Grocery Scanner Application
Sep 2024
Real-time Product Detection: Automated scanning and recognition of products using computer vision
One-Click Interface: User-friendly for warehouse staff, allowing quick switching between automatic and manual modes
User Alerts: Real-time notifications for incorrect, missing, extra, or expired products in orders
Smart Inventory Management: Tracks product movement and updates inventory in real-time
Freshness Detection: AI-powered OCR-based assessment for perishable goods and expiration detection for packaged products
Scalability: Efficient deployment across all product categories with minimal hardware upgrades
Hybrid Cloud-Edge Model: Uses low-cost edge devices for real-time inference and cloud for centralized logging and analytics
Logging System: Continuous logging of order and item data, helping identify frequently mis-scanned products
User-Friendly Interface: Modern dark-themed UI built with CustomTkinter for ease of useShow less
AI-Driven HVAC Efficiency Optimization | Bosch Global Software Technologies
Mar 2024
- Designed and implemented robust, real-time data pipelines to collect, process, and analyze IoT data for energy optimization.
- Engineered scalable data ingestion frameworks, processing 30 days of continuous IoT signals to ensure seamless data flow and minimal latency.
- Utilized distributed computing and data engineering tools (e.g., Apache Spark, Kafka) to handle large-scale data and optimize HVAC system efficiency.
- Applied advanced data transformation and storage techniques to support AI-driven insights and real-time decision-making.Show less
An Open-Source Framework for Breast Cancer Diagnosis leveraging Pathology, Radiology, and Medical History | Bosch Global Software Technologies
Jan 2024
- Spearheaded an AI-driven breast cancer screening initiative, achieving 97% diagnostic accuracy using FNAC data.
- Collected and curated first-party medical datasets, including radiology and histopathology images, in collaboration with industry mentors and medical professionals.
- Developed and fine-tuned multiple AI models for detecting masses, lesions, and calcifications, as well as conducting risk assessments using PyCaret, Grad-CAMs, and other advanced techniques.
- Implemented SHAP for model interpretability, ensuring that AI-driven insights are transparent and clinically actionable.
- Reduced second screening time by 80% through the deployment of AI models, validated in real-time on Indian patients.
- Utilized Weights & Biases for model tracking, hyperparameter tuning, and performance monitoring, ensuring robust model development.
- Deployed the system at scale using Streamlit and Docker, ensuring accessibility and scalability across medical institutions.
- Integrated the solution with cloud platforms for seamless data storage, processing, and inference, enabling efficient large-scale operation.
- Collaborated closely with medical institutions and industry experts to ensure the clinical relevance and effectiveness of the AI models, facilitating widespread adoption.Show less
GenAI-Powered Credit Access Platform for MSMEs
Jan 2024
AI-Driven Financial Assessment: Leverage advanced AI algorithms to evaluate creditworthiness based on cash flow and historical data.
Seamless Integration with OCEN: Ensure efficient data exchange between MSMEs and financial institutions for streamlined loan processing.
Diverse Financing Options: Connect users with a variety of funding sources, including traditional lenders, investors, and government schemes.
User-Friendly Interface: Create an intuitive platform that promotes financial literacy, making it easier for MSMEs to understand their financing options.
Empowerment Tools: Provide tools and resources for financial management, helping MSMEs improve their credit profiles.Show less
TrendLoop
May 2024 - Jun 2024
TRENDLOOP is an AI-powered platform designed to transform the fashion industry by promoting sustainability and enhancing the shopping experience. The frontend, built using Flutter, ensures a seamless and intuitive user interface, while the backend is powered by Firebase, offering robust data management and real-time synchronization.
Leveraging a diverse tech stack that includes Python, TensorFlow, and open-source diffusion models like FLUX.1, TRENDLOOP delivers:
Personalized Outfit Recommendations: AI algorithms analyze user data to provide tailored fashion suggestions.
Virtual Clothing Try-Ons: 3D garment rendering enables users to visualize outfits before purchase.
Circular Fashion Marketplace: A dedicated platform for pre-owned clothing supports sustainable consumption.
Support for Ethical Production: Small-scale manufacturers are empowered to encourage fair and eco-friendly practices.
TRENDLOOP redefines fashion by reducing the environmental impact of fast fashion, fostering circular economy principles, and delivering a personalized, tech-driven shopping experience.Show less
B.Tech, Computer Science and Engineering
Indian Institute of Information Technology (IIIT), Raichur
Dec 2021– Apr 2025
CGPA: 8.2 / 10.0