---
title: "BHASKAR SHASANK TUTIKA - Software Engineer Intern in Greater Bengaluru Area | Tal"
description: "Meet BHASKAR SHASANK TUTIKA, Software Engineering Intern @EdSanta Education || AI/ML & Computer Vision || Full-Stack (MERN) Dev & Client-Facing || Python ,React ,FastAPI || National-Level Hackathon Runner-up (StepCone 2025) || 2026 CSE Graduate based in Greater Bengaluru Area. AI stack includes ant..."
image: "https://tal.club/meet/tutika-bhaskar-shasank/share-image"
---

# BHASKAR SHASANK TUTIKA on Tal

## Headline

Software Engineering Intern @EdSanta Education \|\| AI/ML & Computer Vision \|\| Full\-Stack \(MERN\) Dev & Client\-Facing \|\| Python ,React ,FastAPI \|\| National\-Level Hackathon Runner\-up \(StepCone 2025\) \|\| 2026 CSE Graduate

## About

Hey there \! I am a Computer Science and Engineering graduate \(May 2026\) from MVGR College of Engineering, with a strong interest in AI/ML, deep learning, and computer vision\. I am currently a Software Engineering Intern at EdSanta Education, working on an LMS portal for a university client in Bengaluru\. I split my time between hands\-on development — translating Figma designs into React components and building across the MERN stack — and direct client interaction, where I walk faculty, EAs, and students through the product, gather their requirements, and relay that feedback alongside my business team directly to our founders\. Previously, I interned at Uprise Labs \(Gappeo\.ai\), where I migrated legacy \.NET services to Python FastAPI and built secure, JWT\-authenticated REST APIs, and completed a Salesforce Developer virtual internship focused on CRM automation and platform customization\. My strongest interest is in AI/ML — particularly deep learning and computer vision\. My Cataract Diagnosis System \(hybrid ensemble model, 98% accuracy on 6,000\+ medical images\) and Traffic Management System \(real\-time YOLO\-based vehicle detection\) reflect that focus, alongside the multimodal work in my Interview Assistant project \(speech, facial emotion, and gaze analysis\)\. I also built FirstAidNet, a full\-stack MERN platform for locating nearby hospitals and emergency services\. Runner\-up at StepCone HackHub 2025 \(national\-level hackathon\), and certified across Salesforce AI Agent Development \(SmartBridge\), Java Full Stack \(Wipro\), and Cybersecurity/Python fundamentals \(Cisco\)\. Comfortable across Python, JavaScript/React, Node\.js, FastAPI, Flask, Django, and SQL/NoSQL databases, with growing depth in PyTorch, TensorFlow, scikit\-learn, and computer vision\. Looking to grow further into AI/ML and computer vision roles, backed by a solid full\-stack foundation\.

## Location

Greater Bengaluru Area

## AI stack

antigravity

claude code

gemini

github copilot

grok

hugging face

## Work experience

Software Engineer Intern at Elite Learning \(EdSanta Education\), Jun 2026 \- Present · 4 mos, Bengaluru, Karnataka, India, >Working on an LMS \(Learning Management System\) portal built for a university client in Bengaluru, contributing across both development and client\-facing product work\. >Translate Figma designs into responsive, pixel\-accurate React components as part of the frontend build\. >Learning and applying the MERN stack — reusable components, state management, and modern JavaScript practices\. >Engage directly with client — faculty, executive assistants, and students — walking them through the product and explaining how it works\. >Gather client requirements and feedback, and relay it alongside the business team directly to the founders to help shape product decisions\. >Collaborate with the development team on REST API integration, Git\-based version control, and industry\-standard development practices\.

Software Engineer Intern at UpRise Labs, Dec 2025 \- Mar 2026 · 4 mos, Remote, Migrated legacy \.NET applications to Python FastAPI, reducing response latency and improving long\-term maintainability\. Built and secured REST APIs with JWT\-based authentication, role\-based authorization, and strict input validation for CRUD operations\. Containerized full application stack with Docker, enabling consistent environments across development and production\.

Artificial Intelligence Intern at Infosys Springboard, Dec 2025 \- Feb 2026 · 3 mos, Remote, Developed an AI\-powered real\-time interview assistant using Node\.js, Flask, React, and PostgreSQL\. Built and integrated AI modules for speech processing, facial emotion recognition, and gaze tracking using Whisper, FER, and OpenCV, while implementing a microservices\-based architecture with REST APIs for efficient and scalable communication between components\.

## Education

Bachelor of Technology \- BTech, Computer Science, MVGR College of Engineering

Board of Intermediate Education, Andhra Pradesh \(BIEAP\), MPC, Sasi Educational Institutions

## Public links

- github: https://github\.com/shasankk

[View the original profile](https://tal.club/meet/tutika-bhaskar-shasank)

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