🎓 M.S. in Computer Engineering @ New Jersey Institute of Technology (Class of 2025)
🔧 Software Developer • Systems Engineer • Embedded Systems • Full-Stack Web Dev • IoT Engineer • ML Enthusiast
📍 Based in USA — open to global opportunities
📬 Reach me at LinkedIn | [email protected]
I enjoy bridging the physical and digital world — from microcontrollers and sensors to cloud APIs and React dashboards. Whether it’s optimizing real-time embedded audio systems or building full-stack monitoring platforms, I thrive on solving technical challenges end-to-end.
Java • Python • C# • JavaScript (ES6+) • TypeScript • SQL • PL/SQL • R • Go (basic) • C • C++ • Embedded C
Spring Boot • Hibernate • .NET Core • Angular • React.js • Node.js • Express.js • Django • Flask • SAP UI5 • SAP Fiori • SAP BTP (CAPM/XSUAA/Launchpad)
MySQL • PostgreSQL • Oracle • MongoDB • SQL Server • SAP HANA DB • SQLite • ETL Pipelines • Data Modeling • Query Optimization • Real-Time Data Capture • API-based Integration
AWS (EC2, S3, Lambda, RDS, ECS, EKS) • Azure App Services • Google Cloud Platform (GCP) • SAP BTP • Docker • Kubernetes • Jenkins • GitHub Actions • GitLab CI • Cloud Sync • Remote Monitoring
RESTful APIs • SOAP • GraphQL • gRPC • OAuth 2.0 • OpenAPI • API Gateway • Postman • Swagger • JSON • XML • Secure & Scalable Service Integration • MQTT/WiFi Protocols • USB/Serial Communication • Data Logging
JUnit • Postman • Cypress • PyTest • ST-Link • Logic Analyzers • Unit Testing • Regression Testing • Debugging
STM32 (F4 Series) • CMSIS-DSP • Real-Time Processing • Interrupts • DMA • ADC • USART • I2C • SPI • GPIO • ESP8266 • Raspberry Pi • MAX9814 • DHT22 • Signal Acquisition • Edge Optimization • Low-Latency Design • Power-Efficient Systems
PyTorch • Scikit-learn • Genetic Algorithms • FIR/IIR Filters • Computer Vision • A/B Testing • CMSIS-DSP Optimization • Signal Processing • Computational Intelligence • Time-Series Classification
Agile (Scrum/Kanban) • Jira • Confluence • Git/GitHub/GitLab • Bitbucket • ServiceNow • Agile Sprint Delivery • Documentation & Knowledge Transfer • Responsive Design • System Design • Performance Tuning • Secure Coding Practices • Microservices Architecture • Event-Driven Systems • CI/CD Pipelines
📅 Jan 2025 – Present
📍 USA
- Built enterprise applications with Java, Spring Boot, and Hibernate, using microservices to boost performance and cut downtime by 30%.
- Developed RESTful and GraphQL APIs for third-party integrations, improving data exchange efficiency by 25%.
- Optimized PostgreSQL and MongoDB, reducing query latency by 40% through indexing, caching, and stored procedures.
- Deployed and monitored cloud-native apps on AWS (EC2, Lambda, ECS, RDS, S3), achieving 99.95% uptime.
- Automated CI/CD pipelines with Jenkins and GitHub Actions, enabling daily releases and improving stability.
- Migrated legacy monoliths to microservices with Spring Boot and Docker, improving scalability and delivery speed.
📅 May 2021 – Nov 2023
📍 India
- Led the end-to-end development of 3+ SAP CAPM applications using SAP Fiori, SAP UI5, JavaScript, and Java, improving user productivity by 20%.
- Integrated SAP XSUAA and Launchpad services to implement secure, role-based access, reducing auth issues by 40%.
- Optimized 6+ datasets with SAP HANA DB and SQL, boosting app performance by 15%.
- Resolved 30+ critical bugs, contributing to stability, scalability, and maintainability of enterprise apps.
- Practiced Agile methodology and collaborated across dev/QA using GitHub, Jira, Jenkins, and Postman.
📅 July 2019 – April 2021
📍 India
- Designed, developed, and deployed applications using C#, .NET Core, and Angular, improving customer self-service and streamlining workflows. Reduced support requests by 15% through better UI/UX and process automation.
- Tuned SQL Server and Oracle databases with indexes, stored procedures, and query optimization. Achieved 35% faster data retrieval and improved responsiveness for real-time decision making.
- Developed ETL pipelines and automated workflows with Python and SQL, processing large datasets and powering BI dashboards with accurate, timely insights for strategic decisions.
- Implemented containerization and DevOps best practices using Docker and Kubernetes. Automated CI/CD pipelines with Jenkins and Ansible, cutting deployment times by 40%, eliminating manual errors, and ensuring reliable delivery across environments.
Stack: STM32 • ESP8266 • Arduino • Flask • React • MongoDB • AWS
Designed a full-stack IoT solution for capturing and visualizing real-time sensor data. Integrated microcontroller-based DHT22 readings with cloud APIs and React dashboards for remote monitoring.
Stack: STM32 • MAX9814 • Embedded C • CMSIS-DSP
Built a real-time noise filtering system using FIR filters, DMA-based audio capture, and serial data streaming on STM32 for enhanced voice clarity.
Stack: Python • PyTorch • Google Colab
Developed a genetic algorithm to evolve camouflage patterns by blending images into natural textures using perceptual similarity metrics.
Stack: Java • MySQL • Servlets
Simulated an ATM application with secure login, transaction handling, and concurrency control using Java Servlets and optimized SQL schema.
Stack: Python • Scikit-learn • Pandas • Jupyter
Built a classification model to predict early-stage diabetes using health parameters. Evaluated model performance with confusion matrix and AUC metrics.
- 🐳 Docker Essentials – IBM (Credential ID: CO0101EN)
- 🏦 Software Engineering Virtual Experience – JPMorgan Chase & Co. / Forage
🚀 Passionate about designing intelligent systems and learning across domains.
Let’s connect, collaborate, and build something impactful.