I am a Software Engineer with 2.5+ years of experience in building large-scale distributed systems using Java, Spring, and microservices. Skilled in AWS (DynamoDB, Lambda, S3), I design scalable RESTful APIs and optimize system performance. I develop accessible web applications with Angular, React, and Vue, following WCAG standards, and have expertise in UI design, integration, and testing. My background includes SQL/NoSQL databases, Kubernetes for container orchestration, CI/CD with Jenkins, and data processing using Hadoop, MongoDB, Apache Spark, and Kafka.
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
WORK EXPERIENCE
Software Engineer
Integrated Systems and Data solutions:
● Led development of a distributed, web-based system using Java, Spring Boot, and Docker on AWS, focusing on high availability & scalability, resulting in a 30% reduction in load time. Optimized data processing pipelines using DynamoDB to handle over 1 million
records daily.
● Engineered data processing and ETL pipeline leveraging the Hadoop framework, optimizing the handling of over 1 million records daily.
● Increased web page views by 150% by integrating a web-scraping pipeline using Java and Jsoup, connected to ReactJS and Material-UI frontend, enhancing user engagement.
● Leveraged knowledge of SAP ECC and IBP modules within logistic processes and reduced processing time by 20 hours weekly. Utilized Python for data manipulation and analysis within ETL processes enhancing data processing efficiency. Cloud-Native Data
Analytics and Predictive Modeling Platform:
● Formulated a transformative cloud-native analysis system integrating Java-based microservices with Spring Boot for standardized data suitable for RESTful API by enhancing operational efficiency by 10%.
● Built predictive modeling using Deep Reinforcement algorithms interfacing with Java REST services reducing prediction time by 15%.
● Managed the complete SDLC integrating DevOps, Kubernetes, and AWS infrastructure-as-code using CloudFormation and DynamoDB, achieving a 20% faster deployment time and improved scalability for cloud-native applications.
Application Design Intern
● 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)
● 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)
● 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
● 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)
● 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)
● 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)
● 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)
● 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)
● 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.
SKILLS
Languages and Web Technologies :
Tools and Frameworks:
Databases :
WORKSHOP
Accelathon - State level Hackathon
Engaged in front-end challenges focused on farmer solutions from 12th-14th April 2019.
Amateur IoT Workshop
Gained insight on working of bots organized on 6th and 7th October 2018.
Crafting of Compiler Design - Workshop
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.
Android Development Workshop
Participated in a workshop and applied acquired knowledge in an academic project titled “Campus
365” on 23rd and 24th March 2019.
CERTIFICATES
