Hi
I'm
Krishna Vineeth Puchalapalli
Software Engineer Algorithmic Thinker Researcher Data-Driven Strategist
About
I build scalable, high-performance backend systems that power modern applications. With 3+ years in backend and full-stack development, I specialize in microservices, real-time data pipelines, and automation to cut inefficiencies and maximize uptime.
💡 What I Do Best:
- Designed and deployed 10+ microservices with Spring Boot, Kafka, and Kubernetes.
- Optimized high-throughput data pipelines, slashing processing time and boosting efficiency.
- Automated CI/CD workflows, reducing manual deployment efforts by 40%.
- Engineered fault-tolerant systems, minimizing downtime and improving resilience.
- Built intuitive dashboards and data pipelines, cutting load times by 30%.
Skills
Languages and Web Technologies :
Tools and Frameworks:
Databases :
Experience
Software Engineer
Lepro IT, Milpitas, CA
Feb 2024 - Present
• Designed and deployed 10+ microservices using Java, Spring Boot, and Kafka, enhancing system scalability.
• Collaborated with product managers and architects to develop solutions that reduced system downtime
by 20%.
• Built real-time data pipelines with Kubernetes and Apache Flink, improving fraud prevention performance by 30%.
• Automated CI/CD pipelines using Jenkins and Docker, cutting manual deployment efforts by 40%.
• Led security initiatives, reducing technical debt by 15% while ensuring compliance with best practices.
Software Engineer
Mansha Software India Pvt Ltd, Hyderabad, India
Jan 2020 - Dec 2021
• Developed a scalable dashboard using Java, Spring Boot, and Docker on AWS, reducing load time by 30%.
• Optimized Hadoop data pipelines, processing 1M+ records daily, improving system efficiency.
• Implemented a web scraping pipeline using Java and Jsoup, increasing page views by 150%.
• Automated logistics data processing, reducing weekly manual effort by 20 hours.
Application Design Intern
Gurutu | Bangalore, India
Jun 2018 - Jul 2018
● Crafted responsive layouts for itinerary management and budget tracking on Android minimizing input time by 2 minutes per session.
● Created a web application interface using Java Server Faces (JSF), Servlets, and JAX-RS to build data structures, establish database
linkages, and implement Java-based web components to reduce build time by 25 hours per cycle.
● Deployed RESTful APIs to enhance user interactions; integration with database leading to improved query performance and a reduction in response time by over 3 seconds using Flask for building light weight APIs.
Projects
Chatbot Search System (Skills: Python, SOLR, NLP, Google Cloud, HTML, CSS)
Jan – May 2023
● Optimized Reddit’s REST API data indexing in SOLR and enhanced search accuracy using BM25 and language modelling techniques.
● Formulated Custom DisMax Parser plugin to translate queries for better search results using NLP.
● Integrated Naive Bayes classifier to distinguish between generic queries and search results with a higher accuracy rate of 85%.
● Hosted Flask based chatbot interface on cloud platform provided users with a better search experience.
● Improvised mAP (Mean Average Precision) by 7% based on collective user feedback.
Bank Loan Status Prediction (Skills: Python, Machine Learning)
Jan – May 2023
● Predicted loan repayment using features such as credit score, annual income, etc.
● Applied Logistic Regression, KNN, Decision Tree, Random Forests and SVM algorithms.
● Implemented data pre-processing, model tuning and performance evaluation. Optimized model with continuous monitoring and reduced prediction time by 30%.
Distributed Key-Value Store Simulation
Jan 2022 – Aug 2022
● Built a distributed key-value store using a Dynamo-inspired architecture for horizontal scaling and high availability.
● Implemented consistent hashing and replication to ensure data availability and fault tolerance.
● Achieved sub-50ms latency for high throughput transactions by simulating a DynamoDB-like distributed database.
Smart Campus Management (Skills: Java, Android App Development, SQL)
Aug – Dec 2019
● Developed an android application providing a holistic 360 degree view to both students and teachers of campus activities and resources.
● Highlights features such as class registration and scheduling, user-specific dashboards, real-time announcements, attendance tracking, study materials, and performance analytics.
Driver Drowsiness Detection (Skills: Python, OpenCV, Keras)
Aug – Dec 2022
● Leveraged OpenCV library for real-time eye detection and eye state was differentiated by Eye Aspect Ratio (EAR) technique.
● Co-developed a Keras-based CNN model for precise eye state classification.
● Pioneered the detection of drowsiness from closed-eye frames and established an alert system.
Theft Identification through Motion Detection (Skills: Python, SQL, OpenCV, Hardware Integration)
Aug 2019 – Aug 2020
● Lead a team to develop a smart surveillance system using Raspberry Pi and PIR sensors.
● Integrated Haar Cascade algorithm for facial recognition to match against a database.
● Detected unauthorized access attempts and sent alerts using GSM Module.
Payroll Management (Skills: Java, Java Swings, SQL)
Jan – Apr 2019
● Built a one-stop viewer for employer and employee to simplify processes.
● Managed employee registration and bank details. Automated tax computations and payslip generation.
● Supervised a feedback system and role based access controls with data encryption.
Hotel Management System (Skills: HTML, CSS, SQL, PHP)
Aug – Dec 2018
● Devised a comprehensive system for operations such as bookings, check-ins and cancellations.
● Ensured better client-side interactions and experience with user-friendly interfaces.
● Assessed role based control for sensitive data storage and transmission.
Education
Master of Science, Computer Science
University at Buffalo,The State University of New York
Relevant Courses: Data Structures and Algorithms, Analysis of Algorithms, Machine Learning, Deep Learning, Pattern Recognition, Computer Vision and Image Processing , Information Retrieval, Data Intensive Computing, Operating Systems, Data Modeling and Query Languages
Bachelor of Engineering, Computer Science
New Horizon College of Engineering
Workshop
Accelathon - State level Hackathon
New Horizon College of Engineering, Bangalore, India
Engaged in front-end challenges focused on farmer solutions from 12th-14th April 2019.
Crafting of Compiler Design - Workshop
East Point College of Engineering, Bangalore, India
Nominated from the Computer Science Department, New Horizon College of Engineering to delve into key aspects of Compiler Design and presented on 23rd and 24th of March 2019.
Amateur IoT Workshop
Credence Robotics, Bangalore, India
Gained insight on working of bots organized on 6th and 7th October 2018.
Android Development Workshop
New Horizon College of Engineering, Bangalore, India
Participated in a workshop and applied acquired knowledge in an academic project titled “Campus
365” on 23rd and 24th March 2019.
Certificates
Contact
Krishna Vineeth Puchalapalli
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