Headline

SDE @ HDFC Life | Java · Spring Boot · Microservices | GenAI & ML in Production | Ex Tata CLiQ · ISRO · IISER · TIFR | 3 x Hackathons winner | 2× IP Copyright Holder

About

Software Development Engineer with experience building backend systems, distributed applications, and AI-powered products. At HDFC Life, I develop Java and Spring Boot microservices, REST APIs, and event-driven systems using Kafka, MongoDB, and PostgreSQL that process over 10 lakh member records daily. I have also worked on an LLM-based test case generation solution to streamline testing workflows, along with production observability and monitoring using Grafana and Prometheus. Prior to this, I contributed to Tara, Tata CLiQ's GenAI chatbot, building LLM-powered features, FastAPI services, and RAG pipelines used by millions of customers on the Tata CLiQ Luxury platform. My experience also includes research and engineering internships at ISRO and IISER Mohali, where I developed ML models achieving 90% accuracy on 50 years of satellite data for rainfall forecasting and GAN-based cloud removal systems for satellite imagery with 82% accuracy. I hold 2 government-registered IP copyrights: CrowdFlow Analyzer, a real-time crowd analytics system using YOLO and SSD, and a Voice-Activated NLP Chatbot trained on 50,000+ lines of conversational data with sub-second response times. Selected for Amazon ML Summer School from 85,000+ applicants, AIR 2 at the ISRO-IISF Space Hackathon among 5,000+ teams, and AIR 2 at Logithon among 300+ teams. Passionate about backend engineering, distributed systems, machine learning, and building technology that creates real-world impact.

Location

Mumbai

AI stack

antigravity

claudecode

Work experience

SDE at HDFC Life, Aug 2025 - Present · 1 yr 1 mo, Mumbai, • Building scalable backend microservices for the internal Virtual Office (VO) platform using Java and Spring Boot. • Processing 10 lakh+ member onboarding events daily through Kafka-based event-driven architectures and asynchronous workflows. • Leveraging MongoDB and PostgreSQL for data persistence, JSLT-based workflow orchestration, and Grafana + Prometheus for end-to-end production observability. • Contributing to PMJJBY product engineering, including backend services, onboarding workflows, and system design for secure and scalable policy issuance. • Working on LLM-based code review and test automation solutions to improve review quality, accelerate development cycles, and reduce manual QA effort.

SDE Intern at Tata CLiQ Fashion, Mar 2025 - Jun 2025 · 4 mos, Mumbai, • Worked as part of Tata CLiQ's Core Search Team, building and enhancing large-scale search and discovery systems powering the customer shopping experience. • Designed and developed a Product Ads microservice within the Spring Boot search ecosystem, integrating external Ads APIs to improve search relevance and monetization. • Contributed to Tara, Tata CLiQ's production GenAI chatbot used by millions of customers on the Tata CLiQ Luxury app, working on FastAPI services, RAG pipelines, vector search optimization, embeddings, and NLP-driven personalization.

Machine Learning Research Intern at IISER Mohali, Sep 2024 - Jan 2025 · 5 mos, Mohali district, • Developed cloud detection and removal models for satellite imagery preprocessing, achieving 82% accuracy and improving image quality for environmental and geospatial analysis. • Implemented GAN-based image generation techniques to reconstruct cloud-obstructed satellite imagery and generate high-quality cloud-free datasets for downstream machine learning applications. • Applied deep learning and computer vision techniques to large-scale remote sensing datasets, supporting research in Earth observation and satellite image analysis.

Machine Learning Research Intern at ISRO - Indian Space Research Organization, Jun 2024 - Apr 2025 · 11 mos, Hyderabad, • Analyzed 50 years of satellite time-series data to identify rainfall patterns and develop forecasting models, achieving 90% prediction accuracy. • Performed exploratory data analysis (EDA) and feature engineering on large-scale geospatial datasets to uncover climate trends and improve model performance. • Built predictive analytics pipelines using Python and machine learning libraries to support rainfall forecasting and environmental analysis. • Processed, visualized, and interpreted satellite-derived data, transforming complex geospatial information into actionable insights for research and operational decision-making.

Artificial Intelligence Intern at Tata Institute of Fundamental Research, Jun 2023 - Nov 2023 · 6 mos, Mumbai, • Built CrowdFlow Analyzer, an AI-powered crowd analytics platform using OpenCV, YOLO, and SSD to process live video streams and detect crowd movement patterns in real time. • Applied computer vision and anomaly detection techniques for crowd counting, density estimation, and behavioral analysis with sub-2-second response times. • Designed real-time monitoring and alerting workflows using SMS and Telegram integrations for proactive crowd management. • Secured a government-registered IP copyright for the system's innovation in intelligent crowd analytics and public safety monitoring.

Education

Bachelor of Engineering, Information Technology (Honours in AI/ML), Fr. Conceicao Rodrigues Institute of Technology

Public links

github: https://github.com/shrirajpatil