BASINA SURYA SASHANK

BASINA SURYA SASHANK

CSE student at GCET Hyderabad | MERN, Python, ML | Hackathon winner

Hyderabad, Telangana, India

basinasuryasashank@gmail.com


About

I’m a third-year B.Tech Computer Science student at Geethanjali College of Engineering and Technology in Hyderabad, graduating in 2028. I build full-stack web apps with MongoDB, Express, React and Node.js, and I add a machine learning layer when a project needs one, using Python, scikit-learn and FastAPI. My strongest result so far is Review Guardian, a fake review detection platform that took 1st place at the TECHSYNAPSE NEXTGEN INNOVATORS 24-hour national level hackathon. I built it with a team in one day, from the model to the dashboard. I’ve also done two internships. At Internvision Technology I worked on cloud computing, and at Brain O Vision Solutions I worked on Python, data science, ML and AI. The Brain O Vision work led to TicketSense, a feedback analyzer that uses VADER for sentiment and YAKE for keyword extraction, with Recharts dashboards on top. More recently my team built DealMind, a negotiation intelligence agent that uses Hindsight as long-term memory. It made the top 10 at the finals of a Microsoft hackathon, held at the Microsoft office. We have also submitted our idea for Smart India Hackathon 2026, an AI system for detecting anomalies and fraud in the MPLAD scheme, and we’re waiting on the result. I’m looking for internship and entry-level software roles where I can keep building end to end. Code is on GitHub at github.com/SuryaSashank09

Skills
React
Node.js
Express.js
MongoDB
Python
FastAPI
scikit-learn
Machine Learning
Data Science
NLP
VADER
YAKE
Recharts
Vite
SQLite
REST APIs
Git
GitHub
Cloud Computing
Experience

Python, Data Science, ML and AI Intern

Brain O Vision Solutions

Jun 2026 to Jul 2026
  • Worked on Python, data science, machine learning and AI tasks. Built TicketSense, a feedback analyzer that scores sentiment with VADER, pulls keywords with YAKE, and shows results in Recharts dashboards.
Projects

Review Guardian

Fake review detection platform. Won 1st place at the TECHSYNAPSE NEXTGEN INNOVATORS 24-hour national level hackathon. Built with a team in one day, from the model to the dashboard.

Node.js
NLP feature extraction (15 features)
logistic regression
Groq with LLaMA 3.3 70B

DealMind

Negotiation intelligence agent that uses Hindsight as long-term organizational memory. SQLite holds structured state, Groq handles language synthesis, and deterministic services calculate economics and confidence. Reached the top 10 at a Microsoft hackathon finals.

Hindsight
SQLite
Groq

Kosh-Drishti

Smart India Hackathon 2026 entry for AI-powered anomaly and fraud detection in the MPLAD scheme. Has an Express backend, a React and Vite frontend, a FastAPI ML service, a rule engine, and role-based access control. I handled the frontend and design. Submitted, result pending.

Express
React
Vite
FastAPI
rule engine
role-based access control
Education

B.Tech

Geethanjali College of Engineering and Technology, Hyderabad · 8.0

Aug 2024 to Jul 2028
BASINA SURYA SASHANK · DevFest Hyderabad 2026