Open to Internships & Research Roles

Priyanka Sahoo

B.Tech Information Technology · MIT Bengaluru — engineering full-stack systems, machine learning pipelines, and AI-driven solutions that address real-world technical challenges.

Priyanka Sahoo
Priyanka Sahoo

Driven by Curiosity.
Defined by Code.

I'm Priyanka Sahoo, a B.Tech Information Technology undergraduate at Manipal Institute of Technology, Bengaluru (graduating 2027), with hands-on experience across the full software development lifecycle — from architecture and backend systems to deployment and performance optimization.

My core strength lies at the intersection of software engineering and applied machine learning — designing systems that are not only technically rigorous but purpose-driven. I approach every project with a focus on scalability, data integrity, and measurable impact.

Outside of active development, I engage with emerging research in ML systems, study architectural patterns for distributed applications, and contribute to refining my understanding of algorithms and computational theory.

Machine Learning Full-Stack Dev Data Analysis AI Systems UI/UX Design Open-Source Contribution LLM / Prompt Eng.
priyanka@mit-bengaluru ~
$ whoami
→ priyanka_sahoo // IT Undergrad · MIT Bengaluru
$ cat skills.json
→ [Python, React, Node.js, ML, SQL, Docker, AWS]
$ ls projects/
→ GridSenseAI/ FitnessSystem/ MovieRecommender/
$ git log --oneline -1
// feat: shipped 99.16% accurate power quality classifier
$ _

About & Skills

Analytical.
Systematic.
Impact-
Oriented.

0 Projects Shipped
0 Tech Stacks
0 Internship
Machine Learning Full-Stack Dev Data Analysis AI Systems UI/UX Design Open Source Prompt Eng.
// additional modules loaded
C++
Java
DSA
OOP
DBMS
REST APIs
MySQL
Docker
AWS
Git
Figma
Pandas
NumPy
Prompt Eng.

Currently pursuing a B.Tech in Information Technology at MIT Bengaluru (graduating 2027), with academic and practical focus across full-stack development, relational database systems, and supervised/unsupervised machine learning.

From a 99.16% accurate power-quality AI model to full-stack fitness apps, I love taking ideas from zero to deployed product.

Python 88%
React / Node.js / HTML·CSS 82%
JavaScript 78%
Machine Learning & AI 75%
SQL / MySQL 80%
Data Analysis (Pandas/NumPy) 74%

Experience

Work History

datamatrix-ai / internship.log + merged
1@ role: "Full-Stack Developer Intern" · Dec 2025 – Jan 2026
2@ company: "Datamatrix AI" · stack: ["React", "Node.js", "REST APIs", "Figma"]
3
4+ Architected and deployed the company production website using React.js and Node.js, following component-based design principles.
5+ Engineered end-to-end frontend–backend integration; implemented RESTful API consumption and state management across the React client.
6+ Conducted UI/UX audits and performance optimization — eliminated render-blocking operations, improving page responsiveness by ~30%.

Selected Work

Selected Work

01 / 03 · Featured
GridSense AI — Power Quality Monitor
AI-powered real-time disturbance detection system achieving 99.16% classification accuracy across voltage sag, swell, harmonics and transients. Includes voice-enabled AI assistant and IEEE-aligned synthetic dataset simulation.
PythonMLAnomaly DetectionFFTAI Dashboard
99.16% classification accuracy
02 / 03
Physical Fitness Management System
Full-stack fitness tracking application with regression-based predictive modeling for progress forecasting, user authentication, and a scalable relational database schema.
PythonMySQLHTML/CSSRegression ML
03 / 03
Movie Recommender System
Hybrid recommendation engine combining collaborative and content-based filtering with similarity algorithms and large-scale data preprocessing pipelines.
PythonCollaborative FilteringPandasNumPy

Contact

Ready to
Collaborate.

Actively seeking internship and research opportunities in software engineering, full-stack development, and applied machine learning. I welcome technical discussions, collaborative projects, and professional connections.