Barukula Snehitha

Graduate student • MS in Computer Science • Northeastern University

Hi, I’m Barukula Snehitha

I design systems that

I build scalable, reliable, and clean solutions across software engineering, cloud, data engineering, and AI.

View My Resume → See Projects
2+
Years of Experience
10+
Completed Projects
5K+
Hours Worked

About Me

Barukula Snehitha

Hello, my name is Snehitha Barukula, and I am currently pursuing a Master's in Computer Science at Northeastern University, Boston. With a solid foundation in software engineering and data-driven solutions, I specialize in AI, cloud technologies, and data engineering. My experience includes impactful projects where I designed and implemented scalable systems, leveraging technologies like AWS, Python, and SQL.

I’ve also contributed to meaningful academic research, with publications showcasing my ability to analyze and solve real-world challenges. Beyond technical skills, I’m passionate about collaborative problem-solving and thrive in environments that prioritize innovation and efficiency. My goal is to apply my expertise to develop cutting-edge technologies that make a tangible impact.

Education

M.S. Computer Science Northeastern University • Boston, MA
Sep 2023 – Dec 2025
Algorithms Machine Learning NLP DBMS Web Development Programming Design Paradigms

Focused on strong CS fundamentals + applied ML and data systems through coursework and projects.

B.Tech Computer Science Engineering SRM University • Andhra Pradesh, India
Jun 2018 – May 2022
$1,500 UC Davis Study Abroad Scholarship • Top performer among 3,000 students

Built core engineering foundations and teamwork skills through hands-on coursework and projects.

Experience

Founding Software Engineer Intern SLICPIX • Remote, USA
Sep 2025 – Present
React TypeScript Node.js REST APIs DB Design Stripe (In progress)
  • Owned end-to-end feature development across React/TypeScript frontend and Node.js backend; shipped production features to hundreds of live e-commerce stores.
  • Improved onboarding and product flows by identifying UX friction points to increase engagement and retention.
  • Built responsive UI components with cross-browser compatibility and WCAG accessibility.
  • Optimized services and REST APIs, reducing integration latency by ~25%.
  • Automated email workflows and notifications, reducing manual marketing effort by ~40%.
Helix Fellow (AI Fellowship) Handshake • Remote
Feb 2026 – Apr 2026
LLMs Prompt Engineering Evaluation Unit Testing GitHub Workflow
  • Built domain-specific prompts and evaluation criteria for Large Language Models (LLMs) on real software engineering tasks.
  • Created problem statements, test cases, and reference solutions directly in GitHub repositories; copied key results back into Handshake.
  • Performed unit testing across multiple tasks/projects to validate edge cases, ensure correctness, and improve reliability.
  • Reviewed and refined AI-generated outputs to improve accuracy, clarity, and domain alignment.
Software Engineer IDFC FIRST BANK • India
Jul 2022 – Jul 2023
Java Mulesoft Kubernetes CI/CD Oracle
  • Designed and implemented 50+ REST APIs using Java and Mulesoft, enhancing system integration.
  • Delivered end-to-end solutions for banking platforms (credit cards, SMS, OTP, loan services) in Agile.
  • Deployed containerized microservices using Kubernetes and collaborated on CI/CD pipelines.
  • Migrated SQL to Oracle databases to improve reliability and scalability.
  • Monitored API traffic and optimized response times by ~20%.
Data Engineer Intern WaveLabs Technologies • India
Oct 2021 – Jul 2022
React Python PyTorch NLP AWS S3
  • Built a full stack Generative AI-driven HR Bot using React, Python, PyTorch, CNN, and NLP; reduced HR query resolution by ~25%.
  • Leveraged AWS S3 for real-time data warehousing and generated performance insights using Pandas and NumPy.
  • Optimized SQL queries to improve retrieval speed and responsiveness.

Technical Skills

Languages

Java
Python
C
JavaScript
TypeScript
SQL

Frontend

React
CSS
Responsive Design
Accessibility (WCAG)

Backend & APIs

Node.js
Express.js
Spring Boot
REST APIs
JWT Authentication
Microservices
Mulesoft
MongoDB

AI / Machine Learning

TensorFlow
PyTorch
Scikit-learn
Large Language Models (LLMs)
Prompt Engineering
NLP
Model Evaluation
Pandas
NumPy
t-SNE

Cloud & DevOps

AWS (S3, Glue)
Docker
Kubernetes
Jenkins
CI/CD
GitHub Actions
Stripe API

Testing & Tools

Unit Testing
Integration Testing
Jest
Git
OpenAI
GitHub Copilot
Gemini
Agile / Scrum

Projects

Real-Time Multilingual Handwritten Digit Recognition using CNNs

Real-Time Multilingual Handwritten Digit Recognition using CNNs (Apr 2025)

🔗 View Demo

Built a real-time digit recognition system for Hindi and Telugu scripts using a lightweight CNN (PyTorch). Achieved 91.9% character accuracy and 99.5% script classification accuracy. Integrated OpenCV for webcam predictions with overlay and created a modular training + visualization pipeline.

Tech Stacks: Python, PyTorch, OpenCV, NumPy, Matplotlib
Calibration and Augmented Reality

Calibration and Augmented Reality (Apr 2025)

🔗 View Demo

Implemented an AR system by calibrating a camera to correct lens distortion and estimate pose with checkerboards. Projected 3D axes and objects (cube, cylinder, pyramid) into real scenes in real-time with robust tracking using Harris corners.

Tech Stacks: C++, OpenCV, CMake
ContrastiveBERT: Sentence-Level Pretraining Beyond NSP

ContrastiveBERT: Sentence-Level Pretraining Beyond NSP (Mar 2025)

🔗 View Demo

Proposed a BERT-based model replacing NSP with contrastive triplet loss for stronger sentence embeddings. Added hard negative sampling, mean pooling, and a projection head. Fine-tuned on MNLI and adapted for NER using CoNLL-2003, achieving 93% F1; visualized via t-SNE and similarity plots.

Tech Stacks: Python, PyTorch, HuggingFace, scikit-learn, t-SNE
Recycle.io Smart Disposal & Reward System

Recycle.io – Smart Disposal & Reward System

Designed an AI + IoT waste management solution for smart cities with rewards. Built relational schema with triggers for reward calculations, implemented modular backend CRUD flows, and performed web scraping + CSV exports using Selenium.

Tech Stacks: Node.js, MySQL, HTML/CSS, Python, Selenium
Image Classification with Regularization and Optimization

Image Classification with Regularization and Optimization (Mar 2025)

🔗 View Demo

Implemented a neural network for CIFAR-10 and compared L1, L2, ElasticNet regularization with SGD/Adam/RMSProp. Visualized learning curves and class-wise accuracy to select best generalization settings.

Tech Stacks: Python, PyTorch, NumPy, Matplotlib, CIFAR-10
Job Application Tracker

Job Application Tracker (Chrome Extension)

Built a job application tracking system with a responsive dashboard supporting CRUD, status updates, notes, and CSV export. Developed Go REST APIs to store/retrieve data and handled concurrent requests without duplicates.

Tech Stacks: TypeScript, React, Chrome Extension (Manifest V3), Vite, Golang, REST APIs
Image Manipulation Tool

Image Manipulation Tool (Sep 2024)

Built a Java Swing application supporting 10+ operations (flip, brighten, sepia). Implemented RGB histograms and Haar Wavelet Transform for compression with MVC architecture.

Tech Stacks: Java, Swing, Haar Wavelet Transform, MVC
Survey on RNN & LSTM Architectures

Survey on RNN & LSTM Architectures (Jan 2024)

🔗 View Demo

Surveyed modern RNN/LSTM variants (RWKV, E-LSTM, ∞-former, Liquid Time-Constant Networks), comparing scalability, efficiency, and interpretability across cybersecurity, healthcare, agriculture, and video analysis.

Tech Stacks & Resources: LaTeX, IEEE Xplore, arXiv, Springer
N-gram Models in NLP

N-gram Models in NLP (Jun 2024)

🔗 View Demo

Conducted a literature survey on n-gram model evolution and hybridization in sentiment analysis, chatbots, malware detection, minority languages, and data-efficient multilingual NLP.

Tech Stacks & Resources: Python, Google Scholar, IEEE Xplore
AI Patient Risk Prediction

AI Patient Risk Prediction (Jun 2024)

🔗 View Demo

Built an AI system to identify high-risk patients for diabetes, hypertension, and stroke. Achieved accuracies of 74.6%, 85.7%, and 89.6%.

Tech Stacks: Python, Machine Learning, Pandas, Scikit-learn
Data Analysis Dashboard

Data Analysis Dashboard (Jun 2024)

🔗 View Demo

Developed an interactive dashboard for dynamic dataset exploration and visualization with insight generation.

Tech Stacks: Python, Flask, HTML, CSS, JavaScript, Matplotlib
Fake Stack Overflow

Fake Stack Overflow (Full Stack)

Built a responsive Q&A platform supporting posts, comments, and voting. Implemented secure auth/session management using OWASP best practices; added unit + integration testing for reliability; optimized REST APIs for improved request handling.

Tech Stacks: React, Node.js, Express, MongoDB, REST APIs, Jest
Task Tracker

Task Tracker (JWT Auth)

Developed a fullstack to-do app featuring JWT-based authentication and 7+ CRUD operations. Built reusable UI components and ensured secure data persistence following OWASP guidelines with QA testing for integrity.

Tech Stacks: React, Node.js, Express, MySQL, JWT, REST APIs

Awards & Publications

Awarded a $1,500 scholarship for the Study Abroad Program at UC Davis as a top performer among 3,000 students.

Research Publication: "Human Activity Detection from Still Images using Deep Learning Techniques," IEEE CAPS 2021.

Patent: "A Deep Learning Based Human Action Recognition System," Patent No. 202241041334, Issued Jul 2022.

Book: "Automated Student Emotion Analysis During Online Classes using CNN," Springer SocProS 2022.

Contact Me

Want to collaborate or discuss opportunities? I’m always open to impactful conversations.

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