# Venkata Sai Krishna Jonnalagadda > Senior Software Engineer | Full-Stack Development | Distributed Systems | AI-Driven Platforms Location: San Francisco Bay Area, United States Profile: https://flows.cv/venkatasaikrishnajonnalagadda 💡 Senior Software Engineer | Full-Stack Development | Distributed Systems | AI-Driven Platforms I’m a full-stack engineer with experience designing and scaling end-to-end web applications and distributed systems across enterprise and startup environments. I specialize in backend-focused full-stack development (~70%), with a strong track record of building reliable, scalable, and high-performing systems. 🔹 Core Expertise: Full-Stack: Node.js, TypeScript, React, Next.js, TailwindCSS, Spring Boot Backend & Systems: Microservices, REST APIs, Redis, Apache Spark Databases: PostgreSQL, MongoDB, Vector Databases Cloud & DevOps: AWS, GCP, Kubernetes, Docker, Terraform, CI/CD AI/ML: Semantic Search, Foundation Models, Model Deployment 🔹 Highlights: Reduced backend latency by 35% with caching and optimized API design. Migrated monoliths to microservices on GCP, boosting scalability and enabling distributed processing. Built real-time monitoring platforms with Next.js + TailwindCSS + Spring Boot + Spark, improving reliability and traceability. Mentored junior engineers and contributed to architectural reviews in cloud-native environments. Startup experience at M3BI, contributing to 0→1 product development in fast-paced, high-ownership environments. I thrive at the intersection of software engineering and AI, collaborating with researchers, product managers, and leadership teams to bring innovative ideas into production. ## Work Experience ### Senior Software Engineer - Machine Learning @ GalaxEsystems Corporation Jan 2024 – Present | San Francisco Bay Area Built a fully responsive, end-to-end web application using Next.js, TailwindCSS, and Supabase, improving fintech client accessibility and user experience across devices. Optimized feature loading and query performance by 40% through Redis caching and event-driven design. Developed deep learning models for text classification, boosting decision-making accuracy by 15% and reinforcing data-driven insights. Integrated foundation models with vector databases, streamlining data structures and improving retrieval efficiency by 30%. Deployed and scaled solutions on AWS, ensuring high availability and secure data processing pipelines. Enhanced text encoding and generation by training targeted models, improving output reliability by 20% to support analytical ### fellow @ Formation Jan 2023 – Present | New York City Metropolitan Area ### Software Engineer @ Hexaware Technologies Jan 2023 – Jan 2023 Developed a spring boot application to monitor file delivery systems. Implemented data streams using Apache spark to leverage real time seamless delivery supported the application during releases and production issues Implemented unit test cases to test different scenarios Integrated Rest API with Apache spark for real time dynamic delivery Implemented error handling to track failed api and data related issues ### Staff Data Engineer @ Visa Jan 2022 – Jan 2023 | Austin, Texas Metropolitan Area Created Dashboards to monitor alert metrics using grafana and prometheus queries, enabling the team to identify trends and issues before production deployment. Created automation scripts for respective JVMS to reduce false positive alerts using groovy and shell scripts. Developed an file transfer application using Spring Boot, SFTP protocol for secure sessions, PGP for encryption/decryption, socks proxy for authentication, Implemented Rest API real time client on-boarding and reflect api is used for simple integration of upcoming features Implemented active-active configuration to make sure that application never fails implemented an encrypted cache developed in house to store sensitive information. Implemented gradient boosting using XGBoost for parameter tuning, maximizing profit margins. Enhanced fraud detection capabilities using Tensorflow, identifying fraud patterns and leading to better accuracy. Our application was able to support delivering 20,000 files in less than an hour ### Full Stack Developer @ M3BI Jan 2019 – Jan 2022 | Phoenix, Arizona, United States Created a responsive end-to-end web application for end consumers using Angular 8, Python, Express. Developed custom components tailored to business requirements using Angular 8 and Angular 11. Developed and integrated components with external Applications (i.e Tableau, Risk Connect). Handled route creation and manipulation for various scenarios. Leveraged Session Storage to expedite processing and efficiently segregate individual user data. Utilized Google Analytics to track and analyze page visit metrics. Led the migration process from Angular 8 to Angular 11. Developed customized configurations using Webpack 5 for Angular Applications. Optimized application load time through Bundle Optimization and service injections. Our Application was able to attract 10,000 new enterprise users who were interested in joining based on the capabilities ### Machine learning Engineer - chatbot Engineer( NLP) @ Quantiphi Jan 2019 – Jan 2019 | Marlborough, MA Developed a chatbot using Google Dialogflow to handle insurance-related queries. Collaborated closely with the Highmark team, managing and suggesting best practices for the Dialogflow implementation. Created a backend API service in python to send the data back to the chatbot leveraging the fulfillment feature in Dialogflow. Tracked and analyzed product KPIs on a regular basis, identifying areas for improvements. Engaged in developing multifaceted conversational bot on Dialogflow, leveraging features such as actions, parameters, contexts, and entities. Built a multi-level complex branching for the chatbot to maintain user context and as well as for smooth conversation flow. Handled multiple scenarios where user’s responses create additional follow up conversations. The chatbot was able to handle 10,000 users and save at least 2 hours in a day for a representative ### Graduate Teaching Assistant @ San Jose State University Jan 2018 – Jan 2018 | San Jose, California ### Software Engineer @ Tata Consultancy Services Jan 2015 – Jan 2016 | Hyderabad Area, India  Provided agile software development and delivery of a billing module using Oracle BRM (Billing Relation Management) system. Created views in PL/SQL and utilized C++, BRM, PL/SQL, Agile Model and MVC.  Wrote automated test cases that reduced regression defects and developed scripts in Shell that improved the application’s time complexity.  Leveraged strong agile software development skills to develop an internal web application that resolved recurrent issues; fixed software bugs, implemented minor enhancements that improved overall application performance. ### Assistant Software Engineer @ Tata Consultancy Services Jan 2014 – Jan 2015 | Hyderabad Area, India Created front-end/back-end applications, automating the resolution of repeated technical issues; created billing modules to address client requirements using Ericsson BSCS, C++, BSCS, PL/SQL, and the Agile model. Implemented an image cache feature to store the images in cache for 48 hours before resetting, increasing the performance of the web application by [70%]. Leveraged strong agile software development skills to develop an internal web application, resolving recurrent and intricate issues in the application. The application provided vendors with ease of activation and making any changes estimated to be around 10,000 - 20,000 requests ## Education ### Master's degree in Computer Software Engineering San José State University Jan 2017 – Jan 2018 ### Bachelor of Technology (BTech) in Information Technology sastra university Jan 2010 – Jan 2014 ## Contact & Social - LinkedIn: https://linkedin.com/in/venkatasaikrishnajonnalagadda - GitHub: https://github.com/jvenkat --- Source: https://flows.cv/venkatasaikrishnajonnalagadda JSON Resume: https://flows.cv/venkatasaikrishnajonnalagadda/resume.json Last updated: 2026-03-22