Development Engineer Software

SAI LOKESH SANISETTY

SOFTWARE DEVELOPMENT ENGINEER

IN 219-***-**** ******************@*****.***

SUMMARY:

Software Developement Engineer with around 4+ years of experience in designing, developing, and deploying scalable backend microservices and full-stack applications system across heathcare, logistics and enterprise domains using Java, Spring Boot, Node.js, and Python.

Expertise in building RESTful APIs and microservices using Django integrating Kafka for event-driven architectures, and optimizing databases (SQL Server, PostgreSQL, MongoDB) to improve query performance and reduce latency.

Strong experience in frontend development using React.js, Angular, and Redux, creating interactive dashboards and responsive web applications.

Hands-on experience in cloud deployment (AWS, Azure), CI/CD automation with Jenkins, Kubernetes, Docker, and implementing OAuth2.0-based authentication for secure applications.

Fine-tuned SQL queries and database indexing strategies in PostgreSQL, resulting in a 30% decrease in average response time for high-concurrency API endpoints, according to Datadog metrics.

TECHNICAL SKILLS:

Languages : Java, Python, C, C++, SQL, R, JavaScript, Typescript

Frameworks : Spring Boot, Spring Cloud, Spring MVC, Hibernate, Node.js, Express.js, RESTful APIs

Frontend : React.js, Angular, Redux, Bootstrap, jQuery, HTML5, CSS3, JSP Servlets

Databases : PostgreSQL, MySQL, MongoDB, SQL Server, Oracle DB

Cloud Platforms : AWS (EC2, S3, RDS, Lambda), Microsoft Azure

CI/CD & DevOps : Jenkins, Docker, Kubernetes, GitHub Actions

Testing & Development : JUnit, Mockito, Postman, Unit Testing

Version Control : GIT, GitLab, GitHub

Messaging & Streaming : Kafka, RabbitMQ

Tools : Postman, Jira, Maven, Microservices, SOAP, JSON

Methodologies : Agile, Scrum, SDLC

PROFESSIONAL EXPERIENCE:

Software Development Engineer

Bank Of New York Mellon IN, USA Feb 2025 – Current

Outlined and implemented a modular full-stack portfolio risk tracking platform using React.js, FastAPI, and PostgreSQL, improving trade exposure analysis across 25 institutional clients.

Engineered secure REST APIs with OAuth 2.0 and JWT to manage client access to transaction history, holdings, and P&L summaries, integrated with AWS S3 and RDS for secure storage.

Automated ETL pipelines with Apache Airflow to ingest market, risk, and transaction data from Bloomberg, internal ledgers, and custodial services, improving reporting refresh frequency by 8x.

Visualized portfolio performance metrics with Django dashboards and decreased query processing time by 70% through efficient real-time data aggregation using Pandas.

Containerized services using Docker and deployed scalable microservices via Kubernetes on AWS EC2, supporting 99.99% uptime for the financial data orchestration layer.

Assembled CI/CD pipelines with GitHub Actions and Jenkins, reducing release turnaround for and reporting modules by over 40%.

Delivered 10+ audit-ready data views using SQL and Python, enabling financial analysts to generate SEC reports and internal controls, streamlining the compliance process and reducing manual errors.

Performed load testing with Postman and JUnit, achieving 95% test coverage and validating system performance under simulated 100K concurrent user sessions.

Research Assistant

Purdue University IN, USA Aug 2023 – Sep 2024

Project 1: Integrated Virtual Blast Furnace (IVBF) Dashboard Development

Constructed an interactive real-time dashboard for the Integrated Virtual Blast Furnace (IVBF using Dash, HTML, CSS JavaScript, and Python, providing operational insights that increased furnace efficiency by 30%..

Engineered simulation workflows and control panels to support industrial decision-making, applying Responsive Web Design and UX/UI principles to enhance accessibility and user experience

Merged data from furnace operations and control systems to deliver seamless, real-time metrics and visualizations, optimizing process performance

Championed the implementation of continuous integration/continuous deployment (CI/CD) pipelines using Jenkins and Docker, decreasing deployment times by 60% and reducing rollback occurrences.

Project 2: VR-Based Crane Training Simulator

●Initiated a VR-based Crane Training Simulator using Unity 3D and C#, incorporating dynamic feedback loops to replicate real-world crane operations for immersive training.

●Mapped interactive UI elements for crane functions, such as bucket navigation and lifting tasks, leveraging Object-Oriented Programming (OOP) and Design Analysis to improve user engagement and realism.

●Revamped system performance through integration with Meta Quest VR and physical controllers, leading to a 40% increase in trainee accuracy and a 20% reduction in operational errors.

●Modernized legacy code documentation by refactoring 5,000+ lines of code and updating outdated comments; this effort resolved the three biggest causes of code maintenance issues.

Software Development Engineer Intern

ACL Digital, India Dec 2020 – Jan 2023

Crafted scalable backend modules with Python and Django to handle transactional workflows for enterprise-level applications, improving system performance and reliability, hosted on AWS EC2 for scalability.

Designed and calibrated responsive user interfaces with React.js and REST APIs, enhancing usability and reducing navigation time across five client portals, utilizing AWS S3 for faster static content loading.

Integrated third-party services through GraphQL and OAuth 2.0, simplifying data access and strengthening security for sensitive transactions, while leveraging AWS Lambda for real-time data handling.

Streamlined deployment processes by configuring automation with Jenkins and Docker, deploying to AWS EC2, ensuring smooth, version-controlled rollouts with minimized release errors.

Refined and modernized legacy codebases using OOP principles and design patterns, boosting maintainability and reducing bugs in core systems, with enhanced monitoring through AWS CloudWatch.

Incorporated Grafana and Prometheus to track and optimize application performance, addressing latency during peak periods, and maximizing resource efficiency on AWS EC2.

Enhanced data retrieval performance by optimizing schema design and SQL queries in MySQL and MongoDB, hosted on AWS RDS and DynamoDB, supporting analytics for client dashboards.

Coded and deployed nine features within the Agile framework, maintaining 100% on-time delivery and a defect rate below 1%, showcasing commitment to quality and efficient project execution to meet every deadline.

Software Engineer

Adani Group, India Jan 2020 – Nov 2020

●Built backend services using Python (Flask) to manage logistics tracking and real-time data synchronization for port operations.

●Constructed dashboard interfaces with JavaScript, HTML, and CSS, enabling operations teams to track over 10 live KPIs.

●Integrated sensor data pipelines through REST APIs, automating status updates across transportation workflows.

●Implemented secure access controls with JWT, restricting access to infrastructure monitoring tools.

●Optimized SQL queries and indexing strategies in PostgreSQL, reducing report generation time by 3 seconds per request.

●Deployed applications via Docker on internal servers, ensuring uniform environments and simplifying updates.

●Visualized data trends using Matplotlib and Power BI, providing actionable insights to support executive decisions on logistics throughput.

●Authored system workflows and release notes, ensuring audit compliance and aiding vendor transitions

EDUCATION:

PurdueUniversity Hammond,IN

Master of Science in Computer Science Jan 2023 – Dec 2024

Lovely Professional University India

Bachelor of Technology in Electronics and Communication Engineering Aug 2016 – May 2020

CERTIFICATION:

●Advanced Python Programming – Coursera (by University of Michigan)

●Cloud Computing Specialization – Coursera (by University of Illinois)

●Boomi Professional Developer – Dell Boomi

●IBM AI Developer Certificate – Coursera (by IBM)

●Machine Learning Specialization – Coursera (by University of Washington)

●Programming the Internet of Things – Coursera (by University of California)

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