I
T
E
I
S
F
A
M
I
T
H
J
Q
U
A
R
T
E
R
C
I
L
T
W
E
N
T
Y
X
F
I
V
E
H
A
L
F
C
T
E
N
G
T
O
P
A
S
T
B
S
E
V
E
N
S
O
N
E
T
W
O
T
H
R
E
E
F
O
U
R
F
I
V
E
S
I
X
A
N
I
N
E
K
T
W
E
L
V
E
E
I
G
H
T
E
L
E
V
E
N
T
E
N
J
A
O
C
L
O
C
K

About

Learn more about me

Computer Technology Graduate

A passionate software engineer with an M.S. in Computer Technology from Eastern Illinois University, specializing in machine learning, full-stack development, and cloud computing. I've delivered impactful solutions including a 92% accurate skin disease classification model and processed 10+ GB of data for enterprise analytics, consistently achieving measurable business outcomes.

Lines coded

Lines debugged

References used

Time Utilized

Skills

Python Expert
95%

Advanced Python development with expertise in data science, web development, and automation. Proficient in frameworks like Django, Flask, and FastAPI.

Angular Advanced
90%

Full-stack Angular development with TypeScript, RxJS, and Angular Material. Experience with Angular 12+ and modern development practices.

React Advanced
90%

Modern React development with hooks, context API, and functional components. Experience with React Router, Redux, and popular UI libraries.

Machine Learning Expert
90%

Deep learning expertise with TensorFlow, PyTorch, and scikit-learn. Experience in computer vision, NLP, and predictive modeling.

Cloud Computing Advanced
90%

Cloud platform expertise including AWS, Azure, and Google Cloud. Experience with serverless architecture, containers, and DevOps practices.

Data Analytics Expert
90%

Advanced data analysis with Python, R, SQL, and visualization tools. Experience with big data processing and business intelligence.

Interests

Data Analytics

Software Development

Bioinformatics

Game Development

Cloud Computing

Video Editing

Research

Full Stack

Resume

Check My Resume

Users Impacted

Projects

Publications

% Effort Reduced

Education

Master of Science in Computer Technology

2022 - 2024

Eastern Illinois University, Charleston, IL

CGPA - 4/4

Bachelor of Engineering in Computer Science and Engineering

2018 - 2022

Sathyabama Institute of Science and Technology, Chennai, India

Graduated with Distinction - 8.74/10

Certifications

Microsoft Certified: Azure Fundamentals

2023

Microsoft

ANGULAR CERTIFIED TRAINING

2021

CREDO SYSTEMZ

Facial Expression Recognition with Keras

2020

Coursera

Machine Learning with TensorFlow on Google Cloud Platform

2020

Google Cloud Training Online

Paleontology: Ancient Marine Reptiles

2020

University of Alberta

Python for Everybody

2020

University of Michigan

Introduction to Data Science

2020

International Business Machines

Applied Data Science

2020

International Business Machines

IBM Data Science

2020

International Business Machines

From Data to Insights with Google Cloud Platform

2020

Google Cloud Training Online

Genomic Technologies

2020

The Johns Hopkins University

Perform Sentiment Analysis with scikit-learn

2020

Coursera

Programming with Google Go Specialization

2020

Coursera

SAS Programming

2020

SAS

Digital Marketing

2019

Google

Dino 101: Dinosaur Paleobiology

2019

University of Alberta

Paleontology: Theropod Dinosaurs and the Origin of Birds

2019

University of Alberta

Professional Experience

Software Development Engineer

June 2024 - Present

Healthcare Triangle, Inc

  • Developed HL7 message validation system achieving 95% faster processing time and enhanced EHR data access reducing retrieval time by 1.5 hours.
  • Implemented comprehensive unit testing achieving 92% code coverage and optimized microservice efficiency to 150ms per message processing.
  • Built robust data validation microservice and collaborated effectively in Agile/Scrum environment for healthcare software solutions.

Advanced Software Engineering - Teaching Assistant

Sept 2023 - April 2024

Eastern Illinois University

  • Supported students in Software Development Life Cycle (SDLC) concepts and elevated project quality achieving 25% increase in unit test coverage.
  • Reduced code quality violations by 35% and improved team collaboration through effective mentoring and guidance.

Full Stack Web Developer

January 2023 - July 2023

California State University, Fresno

  • Audited portal UI, crafted Adobe XD wireframes, and built responsive React components, streamlining navigation and winning unanimous stakeholder approval.
  • Defined task-completion and click-through metrics, embedded analytics in React, and ran A/B tests, cutting user errors by 25% and boosting satisfaction.
  • Documented component specs, led weekly cross-functional reviews, and orchestrated design-to-development handoffs, delivering every milestone on time with zero major defects.

Campus Ambassador

October 2020 - May 2021

Dell Technologies, India

  • Orchestrated and managed over five large-scale tech events, reaching more than 1,000 students across the university.
  • Coordinated logistics, fostered engagement, and facilitated promotion of Dell's products and solutions including data security, cloud solutions, and AI integration.
  • Developed marketing, social media management, and public speaking skills while presenting complex technical solutions to diverse audiences.

Software Development Intern

April 2020 - October 2020

Sparks Foundation, India

  • Optimized back-end API performance by 75% and improved dashboard load time by 60% through efficient code optimization.
  • Reduced user support tickets by 30% and developed robust unit tests achieving 90%+ code coverage.

Technology Consulting Virtual Intern

2020

Deloitte, India

  • Proactively gained expertise in project management while honing skills in strategic analysis and effective client communication.
  • Collaborated with cross-functional teams to develop and implement cloud-based solutions, reducing infrastructure costs by 20%.

Publications

Unraveling the Equifax Data Breach: Lessons Learned and Strategies for Robust Cybersecurity

2023

arXiv

  • Conducted an in-depth analysis of the 2017 Equifax data breach, a significant event impacting approximately 147 million individuals. Delving into the root causes, vulnerabilities, occurrences, variants, and related attacks, I focused particularly on the exploited Apache Struts framework vulnerability (CVE‐ 2017‐5638) and its profound implications for data security.
  • Through meticulous investigation, I elucidated the necessity for proactive measures such as timely patch management, comprehensive vulnerability management, and rigorous employee training to mitigate similar breaches effectively.
  • By offering best practices and insights gleaned from this analysis, my paper contributes to the broader discourse on cybersecurity, offering actionable strategies for organizations aiming to bolster their security posture in an increasingly digitized landscape.

Assessing Exoplanet Habitability through Data‐driven Approaches: A Comprehensive Literature Review

2023

arXiv

  • Disseminated in Arxiv, critically examined various data‐driven methodologies employed in assessing the habitability of exoplanets.
  • Through an exhaustive literature review, I synthesized existing knowledge and highlighted trends in the field.
  • This endeavor enhanced my research skills, deepened my understanding of astrobiology concepts, and contributed to the broader scientific discourse surrounding exoplanet exploration.

Categorization of Integumentary System Disorders using Deep Learning

2022

IEEE

  • Developed a sophisticated deep learning model leveraging TensorFlow to effectively classify four distinct types of skin diseases.
  • By utilizing learning techniques, specifically Inception v3, we not only reduced the training duration but also achieved superior accuracy levels.
  • This project not only honed technical skills in HTML, SCSS, JavaScript, Flask, and TensorFlow but also fostered soft skills such as logical thinking, polished presentation abilities, leadership qualities, and effective teamwork.

Projects

My Projects

The React Storm: A Dynamic Weather Application

Situation: Users needed a modern, responsive weather application with real-time data access. Task: Develop a dynamic weather application using React.js with TypeScript. Action: Built responsive React application with real-time weather API integration, implemented TypeScript for type safety, and ensured cross-device compatibility. Result: Created a fully functional weather app with optimal performance across all devices and real-time data updates.

React.js TypeScript JavaScript Front-End APIs
Live Demo

Real-time Financial Data Stream Processing Engine

Situation: Financial institutions needed real-time processing of market data streams with high reliability. Task: Design and implement a scalable data processing system using software design patterns. Action: Built event-driven architecture using Adapter, Factory Method, Singleton, and Observer patterns with robust error handling. Result: Achieved 95% faster processing time and enhanced data validation capabilities.

Design Patterns Data Processing Event-Driven Real-time
View Project

Enhancing the Fresno State Digital Landscape: A User Experience Transformation

Situation: University's digital platform had poor user experience affecting 10,000+ students and staff. Task: Conduct comprehensive UX research and redesign the digital ecosystem. Action: Analyzed data from 500+ participants, created wireframes using Adobe XD, and presented redesign proposals to stakeholders. Result: Implemented three major feature enhancements, improving user satisfaction by 25%.

UI/UX Adobe XD Research Prototyping
View Project

Categorization of Integumentary System Disorders Using Deep Learning

Situation: Medical professionals needed automated skin disease classification to improve diagnostic accuracy and reduce diagnosis time. Task: Develop a deep learning model to classify four types of skin diseases from medical images. Action: Built TensorFlow model using Inception v3 transfer learning, preprocessed 15,000+ images with data augmentation, and collaborated with bioinformatics experts. Result: Achieved 92% classification accuracy and increased training dataset by 40%.

TensorFlow Deep Learning Python Medical AI Inception v3
GitHub

Analyzing Stock Market Trends Using R

Situation: Investors needed automated stock market analysis to identify profitable trading opportunities. Task: Develop a comprehensive stock market analysis system using R programming. Action: Built automated data collection from financial APIs, processed 10+ million data points, and implemented time series analysis with statistical methods. Result: Achieved 85% prediction accuracy and improved data quality by 30%.

R Data Analysis Time Series Financial APIs Sentiment Analysis
View Project

Elegant Logistics Management System Empowered by Angular 12

Situation: Logistics companies struggled with manual data entry and inefficient inventory management processes. Task: Develop a modern web application to streamline logistics operations. Action: Built Angular 12 application with Firebase authentication, responsive design, and intuitive user interface. Result: Reduced manual data entry efforts by 40% and improved operational efficiency.

Angular 12 Firebase TypeScript Logistics
View Project

The Opulent Slots: Refined Parking System

Situation: Urban areas faced parking space management challenges with poor user experience and communication. Task: Create an intelligent parking system with real-time communication capabilities. Action: Integrated Twilio WhatsApp API for notifications, designed minimal user interface, and implemented IoT-based parking detection. Result: Increased user engagement by 25% and improved parking space utilization.

Twilio API WhatsApp Web Development IoT
View Project

Contact

Contact Me

My Address

Chicago

Social Profiles

Email Me

jakkamithilsai@gmail.com

Call Me

5597098752