I'm a Software Engineer at TCS, with a Bachelor's in IT. I am pursuing a Master's in Computer Science, seeking roles to apply expertise in Software Development, Full Stack, AI, and cloud tech.
Promoted from Assistant Software Engineer to Software Engineer-1 within 12 months through TCS Elevate Wings-1 Compliance.
University Sports Day 2020-Basketball Competition Winner
Achieved a Winner's medal and certificate in the "University Sports Day 2020 - Basketball Competition" organized by JNTUK-UCEV.
Merit in Academics
Placed 2nd in Academics (across eight semesters) among 60 students in the IT department and among the top 20 of the institute (including all Majors), out of 380 students at JNTU Vizianagaram.
Earned a gold medal for achieving the highest CGPA in the CBSE board exams at Visakha Valley School.
Master's Degree: Computer Science August 2022 - May 2024
Arizona State University CGPA: 3.78 / 4.0
Bachelor's Degree: Information Technology August 2016 - September 2020
Jawaharlal Nehru Technological University Vizianagaram CGPA: 8.53 / 10.0
Higher Secondary Education: Board of Intermediate Education, Andhra Pradesh June 2014 - May 2016
Narayana Junior College Percentage: 96.3 / 100.0
Secondary School Education: Central Board of Secondary Education June 2012 - April 2014
Visakha Valley School CGPA: 10.0 / 10.0
Tata Consultancy Services: Software Engineer-1 September 2020 - August 2022
Worked as a Software Engineer for two Dubai based Service projects named DDF and BMA.
JNTUK-UCEV: Student Teaching Assistant and Academic Course Grader August 2018 - July 2020
Assisted in Cryptography and Network Security and Principles of Programming Languages courses, aiding students with deadlines, queries, and proctoring exams while managing administrative tasks weekly.
JNTUK-UCEV: ITYUKTA TECH FEST-Workshop and Event Coordinator March 2018 and March 2020
Collaborated to arrange two workshops on Blockchain and Cybersecurity, drawing over 450 participants. Orchestrated diverse technical events—Tech Expo, Blind Coding, Captcha Cracking, and Detect the Bug—engaging over 500 attendees.
My Projects and Researches
Least Square Support Vector Machine(LSSVM) for Software Defect Forecasting
This project focuses on creating a defect prognosis tool using software metrics. It employs feature selection techniques to optimize metrics for a fault prediction model based on Least Squares Support Vector Machine, validated via a cost-analysis model.
A Comparitive Study of Performance Metrics of Data Mining Algorithms on Medical Data
Using four data mining algorithms on the ILPD dataset, this research compared six prediction models via 10-fold cross-validation. SVM excelled with 74.82% accuracy, while Naive Bayes lagged behind at 56.55%, with additional metrics detailed in the paper.
CrystalBall: A Visual Analytic System for Future Event Discovery and Analysis from Social Media Data
This project introduces Crystalball, a visual analysis system pinpointing and ranking future Twitter events using seven parameters from tweets. Five visualizations depict event traits, accompanied by a case study scrutinizing these derived future events from Twitter data.
Resting-State Functional MRI(rs-fMRI) analysis using Data Mining techniques
This project employs image processing on rs-fMRI scans, encompassing boundary extraction, supervised classification of IC images into noise or RSN, and unsupervised clustering to detect brain slice clusters.
Creating personal portfolio website
This project is about creating a dynamic personal portfolio website using HTML, CSS, React and JavaScript, incorporating Google Firebase for functionality.
Fake Review Detection
Using machine learning and deep learning models trained on Yelp's dataset, this project automates fake review detection, addressing imbalanced data, feature engineering, analysis, hyperparameter tuning, and concludes with performance insights and enhancement strategies.
ML Log Analysis and ML Log Privacy Preserving
This project involves analyzing open-source ML pipeline log messages to assess privacy risks using Scala-based ML applications on Apache Spark. By evaluating potential information exposure and offering recommendations, it aims to bolster ML log privacy, contributing to data privacy discussions in the ML community and ensuring user information security in ML systems.
Implementing a database application with UI features in MS Access
This project involves creation of database tables for On-site and Off-site users for request and return functionalities along with some features in MS Access.
Automated Warehouse Scenario
This project automates order fulfillment in warehouses using robots, optimizing inventory management and order processing while assigning robots to transport items from storage to designated picking stations for specific orders by using ASP programming.
Enhancing Autonomous Vehicle Safety through Real-time User Health Monitoring and Various factors Integration
This project endeavors to create a safety-driven framework tailored for autonomous vehicles, concentrating on the real-time monitoring of vital passenger health metrics. With a specific focus on intoxication levels, respiratory rate, heart rate, BMI, and sleepiness, the project aims to develop an adaptive advisory control system.
The Comparative Study of LS-SVM and SVM algorithms for Regression and Classification problems
This project conducts a comparative analysis of LS-SVM and SVM algorithms for regression and classification, applying them to benchmark datasets including Breast Cancer Wisconsin and Extreme-Weather Temperature Prediction. Evaluation metrics like accuracy, precision, recall, EV, and RMSE assess their performance.
Data Processing at Scale
The project involves Python functions in a NoSQL setup to find businesses by city and proximity using the Haversine formula. It also executes spatial analysis in Hadoop/Spark on NYC Taxi data, employing Hot Zone and Hot Cell Analysis to enhance location-based services like ride-sharing.
My Certifications
Google Cloud Fundamentals: Core Infrastructure - Google Cloud
This Coursera certification covered basic Google Cloud concepts, computing, storage services, and resource management, with videos and hands-on labs for practical learning.
Getting Started with Go - University of California, Irvine
This Coursera certification focused on Go language basics, designed for those with programming experience, covering data types, protocols, JSON, and practical exercises.
Introduction to AI and Machine Learning on Google Cloud
This Coursera certification focused Google Cloud's AI/ML capabilities, covering technologies and tools for building models, pipelines, and generative AI projects for diverse user roles.
"Exploring Tempe, Arizona: Unveiling its cultural tapestry, diverse attractions, and vibrant lifestyle through local flavors, outdoor adventures, and community insights."
Open to discussing and realizing your project visions, collaborations, and partnerships.
From inquiries to friendly hellos, I'm here—let's create, connect, and chat!
