Hari Krishna Merla

Hari Krishna Merla

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Actively looking for Software Engineer | Full-Stack Developer roles | Java | React | Spring Boot | AWS
Birmingham, Alabama, United States

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Résumé


Jobs verified_user 0% verified
  • U
    Data Information Coordinator/ Web Developer
    University of Alabama at Birmingham
    Jun 2024 - Current (1 year 1 month)
    • Engineered the GeneTerrain visualization web application, employing WebGPU, TypeScript, React, AG Grid, Plotly, and NodeJS, leveraging Python for advanced data visualization and processing to produce over 1 million gene terrains for comprehensive clinical research cancer data analysis. • Collected GBM clinical cancer data from sources, using Python scripts to reprocess and manage data in an Oracle APEX database; formulated APIs for individual GBM cancer types to serve as input for GeneTerrain software. • Transformed the Gene Terrain project by utilizing AWS for containerized deployments on EC2, responsive data processing with Lambda, and monitoring via CloudWatch, achieving enhanced performance and scalability. • Conceptualized Goog
  • T
    Software Engineer
    Tata Consultancy Services
    Mar 2021 - Jul 2022 (1 year 5 months)
    • Developed and deployed RESTful APIs using Spring Boot, enabling seamless integration across 10+ microservices and reducing processing latency by 30 seconds per transaction in a high-throughput financial services application. • Built Web APIs and enterprise modules using Java/J2EE, JDBC, HTML, and the Spring Framework, improving frontend-backend communication and enhancing user experience across 5+ internal tools. • Managed system performance using AWS CloudWatch and AWS X-Ray, identifying bottlenecks and reducing application response time by 150 milliseconds, improving reliability for critical client-facing platforms. • Engineered backend components with Hibernate, creating 50+ HQL queries, mapping files, and data access layers to e
  • A
    Assistant Software Engineer
    Sep 2019 - Mar 2021 (1 year 7 months)
    • Developed a chatbot using Python, Django, and Dialogflow in collaboration with the Business Intelligence team to automate HR-related queries, benefiting 50,000+ employees at TCS. • Architected feedback mechanisms on user responses for real-time data collection for insightful user behavior analysis, utilizing PostgreSQL db leading to a significant improvement in product usage. • Created a Python automation tool that enables seamless conversion between Excel data and Dialogflow bots, drastically reducing the bot creation time by 90%, and facilitating bot creation within a minute. • Co-ordinated agile sprints, participated in sprint reviews and retrospectives to improve team performance, and implemented real-time feedback mechanisms an
  • T
    Software Engineer
    Trinity Technolabs
    Aug 2018 - Aug 2019 (1 year 1 month)
    • Collaborated on developing enterprise-level applications using Django, contributing to modular components that processed over 10,000 transactions daily in line with industry standards for scalability and reliability. • Integrated RESTful APIs using Python to facilitate seamless communication between microservices, handling over 25,000 API requests daily. • Guided in designing and implementing MongoDB solutions for managing unstructured financial data, including audit records, with secure storage and retrieval for datasets exceeding 100 GB. • Aided the Redis configuration for caching frequently accessed data, improving database query latency from 120ms to 75ms during peak traffic, and optimizing application performance. • Administratio
Education verified_user 0% verified
  • U
    Master's Degree in
    University of Alabama at Birmingham
    Aug 2022 - May 2024 (1 year 10 months)
  • KL University
    Bachelor's Degree
    KL University
    Jul 2015 - May 2019 (3 years 11 months)
Projects verified_user 0% verified
  • C
    CareerFlow
    May 2025
    I am currently working on a SaaS product called "careerflow" (dev link: https://careerflow-orpin.vercel.app/). In this project, the UI is complete and the "Cover Letter" page is up and running, while the remaining features are in development. The project is built with best practices in mind, including scalable architecture, secure authentication, and an API-first approach, making it flexible for evolving business needs.
  • C
    Clinical Data Insights using RAG Model
    Feb 2025
    In the Clinical Data Insights using RAG Model project, I was responsible for developing and deploying a Retrieval-Augmented Generation system to summarize patient records, ensuring a high level of accuracy and efficiency in data processing. This involved designing a web interface that utilized HTML, CSS, and Bootstrap to create a clean and responsive layout, enhancing user experience. I integrated the system with a backend service through REST APIs, employing an MVC architecture to effectively separate logic and presentation. Additionally, I utilized JavaScript to manage user interactions and dynamically render content, further improving the interface's functionality. For data management, Microsoft SQL Server was implemented to store proces
  • G
    Game Zone
    Jan 2025
    Constructed Game Zone, a video game discovery web app, using React 18, TypeScript, Chakra UI, and Bootstrap. The project features a modern UI, state management, and integration with a backend for content display (Link). Engineered a RAG model with Flask, React, LangChain, Firebase, and OpenAI to analyze patient records, provide summaries, detect anomalies, and identify key health indicators using advanced AI techniques (Link). Created Comedian AI Assistant for humor generation using Langchain, OpenAI, Streamlit, and HuggingFace Spaces, hosted on render cloud for accessibility (Link). Devised a Flask web application in a UA 24-hour hackathon, facilitating user analysis and providing solutions to user's spending habits. Analyzed Python, Flask
  • C
    Comedian ChatBot
    Sep 2024
    As a Comedian ChatBot, I was responsible for creating an engaging and entertaining conversational experience for users, utilizing humor and wit to enhance user interaction. I designed and developed the Comedian ChatBot as a software engineering side project, applying principles of modular design, API integration (e.g., OpenAI), and state management to ensure a seamless user experience. Additionally, I employed Git for version control during the development process, effectively managing branches and tracking iterative updates to both the bot's behavior and UI features, which contributed to the overall quality and reliability of the chatbot.
  • M
    MovieHub
    Aug 2024
  • G
    GameGuruBot
    Apr 2024
  • S
    SavingsGuru
    Mar 2024
  • L
    Language Prediction
    Jan 2024
    - Developed and implemented a Language Prediction application, applying core software engineering principles to build and integrate machine learning models effectively. - Utilized Git for version control, managing iterative improvements to ensure a robust development process. - Designed the user interface using HTML, styled with Bootstrap, and enhanced with JavaScript to facilitate dynamic interactions, allowing users to input text and receive real-time language predictions. - This project exemplifies full-stack development practices, showcasing practical experience across both backend logic and frontend technologies.