Hey there, I'm Manikandan Gobalakrishnan! I'm that developer who gets unreasonably excited about clean code and stays up way too late debugging. When not chasing the perfect solution, I'm probably exploring some shiny new tech that caught my attention. My learning style? Dive in headfirst and figure out how to swim while falling! Apparently I'm also learning Swimming.
My code is so meticulously organized they make my sock drawer look chaotic—I've been known to refactor perfectly working functions at 2 AM just because the indentation felt wrong. My superpower? Making complex systems look so simple your grandmother could use them. I believe good documentation is like flossing - everyone knows they should do it, but I'm one of the few who actually does(both!). Currently seeking opportunities where I can build meaningful tech, preferably at places that don't mind the occasional dad joke in code comments. Let's create something awesome together!
Spearheaded the development of real-time data capturing and processing of over 500,000 Wikimedia events daily, including edits, page views, and user interactions
Leveraged Apache Kafka for robust, horizontally scalable data ingestion, increasing data processing throughput by 30% and reducing data latency by 40%, significantly enhancing system performance
Designed a microservices architecture using Spring Boot, with Eureka for dynamic service discovery and Feign for efficient inter-service communication
Integrated an API Gateway to centralize routing and enforce secure access to microservice endpoints, improving system-wide reliability and control
Implemented JWT authentication with Spring Security 6 and OAuth2 with Keycloak to enable scalable, centralized identity and access management for both service-to-service and client interaction
Devised a scalable, currency exchange platform using microservices, enabling real-time conversions for over 50 currencies
Implemented advanced microservices patterns, including service discovery with Eureka Server, distributed tracing with Zipkin, and API Gateway integration to optimize communication and enhance security
Accelerated deployment and scalability by containerization services with Docker and deploying on Google Cloud Platform, reducing deployment time by 60% and improving scalability by 80%
Engineered a full-stack application leveraging microservices architecture which streamlined user & company registration with 2-step authentication & real-time chat for over 5,000 users; employed Kafka for seamless inter-service communication.
Employed Redis for data caching, achieving a 35-millisecond improvement in average database response time. Leveraged JMeter and Mocha to rigorously test website performance post-deployment on AWS ECS with SSL secure connections.
Designed a healthcare platform that analyzes 61,102 drug-side effect associations to deliver personalized medication risk insights for patients and healthcare professionals
Engineered an interactive Streamlit interface with efficient data filtering and visualization, enhancing user engagement and simplifying complex drug interaction analysis
Enabled informed clinical decisions and improved patient safety by providing predictive insights on potential adverse effects based on user-specific medication input
Built a serverless pipeline using AWS Lambda, API Gateway, and S3 to automate ingestion and processing of Amazon product metadata, eliminating manual data handling.
Integrated Athena with Python to enable fast, scalable querying, improving data analysis speed by 35% and boosting accuracy to 98%.
Streamlined end-to-end product data comparison, enhancing real-time decision-making for e-commerce insights.
Developed a minimalist mobile app using React Native and OpenAI API to assist users in planning trips through conversational AI, offering personalized travel recommendations.
Implemented a smooth and structured UI/UX with guided chat flow, Figma-based designs, and local data persistence via AsyncStorage, enhancing usability and engagement.
Enabled real-time, intelligent travel planning by integrating OpenAI for dynamic conversation generation and summarization, streamlining trip decision-making.
Built a full-stack AI assistant that identifies ingredients from user-uploaded photos using a custom-trained TensorFlow model and OpenCV2, automating recipe generation.
Integrated OpenAI’s GPT to deliver personalized recipes with macros (carbs, protein, fat) tailored to dietary goals like high-protein or low-carb, enhancing meal planning for busy users.
Enabled real-time interaction with seamless frontend-backend communication, improving cooking efficiency and decision-making for home cooks, students, and professionals.
Developed a fully automated ETL pipeline using Airflow, Glue, and Redshift to detect early signs of customer churn by processing behavioral and transaction data from multiple sources.
Built modular DAGs for orchestration and leveraged Glue to clean, transform, and merge datasets before storing them in Redshift for optimized querying.
Delivered retention dashboards in Power BI, reducing manual analysis by 70% and helping teams act faster on customer drop-off patterns.
Master's in Computer and Information Systems
Jan 2024 - May 2025
GPA: 3.60/4.0
Bachelor of Engineering in Computer Science
Jul 2016 - May 2020
GPA: 3.45/4.0
Feel free to reach out to me for any opportunities, questions, or just to say hello!