---
title: "Gunashekhar P - SDE 1 in Greater Bengaluru Area | Tal"
description: "Meet Gunashekhar P, SDE 1 Intern at Snabbit | Passionate About Building Scalable Solutions | Turning Complex Problems Into Simple Code | Always Shipping, Always Learning based in Greater Bengaluru Area. AI stack includes aistudio, claude code, and codex."
image: "https://tal.club/meet/gunashekhar-p/share-image"
---

# Gunashekhar P on Tal

## Headline

SDE 1 Intern at Snabbit \| Passionate About Building Scalable Solutions \| Turning Complex Problems Into Simple Code \| Always Shipping, Always Learning

## About

Full Stack Developer with strong expertise in AI/LLM integration, data engineering, and building scalable web applications\. I specialize in translating complex business requirements into robust technical solutions using modern frameworks and cloud infrastructure\. Core Skills: Python, FastAPI, React, Node\.js, LangChain, SQL, PySpark, Flutter, AWS, Firebase Professional Expertise: Full\-Stack Web Development: FastAPI, React/Vite, Node\.js AI & Machine Learning: LLM integration, RAG systems, LangChain, data processing Data Engineering: SQL, PySpark, data lineage analysis, synthetic data generation Cloud Infrastructure: AWS \(EC2, S3, Lambda\), serverless architecture, Firebase Mobile Development: Flutter for cross\-platform applications Key Projects: Data Lineage Extraction Tool: Developed a comprehensive system to extract and analyze data lineage from SQL and PySpark codebases, enabling better data governance and understanding of data flows IoT Automated Irrigation System: Built an end\-to\-end solution including Flutter mobile application and backend infrastructure for smart agricultural automation Data Sample Generation System: Created an industrial\-grade synthetic data generation platform for testing, training, and quality assurance in data engineering workflows Education: Computer Science at PES University \(Aug 2023 \- Aug 2026\) Strong foundation in algorithms, system design, database management, and web technologies Career Objective: Seeking full\-time opportunities in AI/ML Engineering or Data Engineering roles where I can leverage my full\-stack capabilities to build intelligent, data\-driven solutions\. Passionate about emerging technologies and committed to continuous learning in the field of artificial intelligence and cloud infrastructure\. Technical Stack: Languages: Python, SQL, Java, Dart Frameworks: FastAPI, React, Node\.js, LangChain Tools & Platforms: AWS, GitHub, Firebase, VS Code

## Location

Greater Bengaluru Area

## AI stack

aistudio

claude code

codex

langchain

langgraph

openai

## Work experience

SDE 1 at Snabbit, Apr 2026 \- Present · 3 mos, Bengaluru, Karnataka, India, Contributing to software development at Snabbit, working on building and improving product features\. Gaining hands\-on experience in development, debugging, and collaborating with the engineering team\.

AI Developer Intern \(CXO Office\) at Trivitron Digital\.ai, Jan 2026 \- Apr 2026 · 4 mos, Bengaluru, Karnataka, India, 1\. Built and deployed a scalable RIS/PACS system with DICOM viewer integration, Dockerization, and GCP VM deployment; resolved critical issues to ensure system stability 2\. Designed and developed healthcare applications including Lab Scheduling System, multi\-tenant architecture, and secure data workflows with improved UI/UX 3\. Implemented AI\-driven features \(speech\-to\-text, chatbot with EMR integration\) and explored AI agents/local LLMs for automation and cost optimization

Full Stack Intern at 7Dxperts, Jun 2025 \- Aug 2025 · 3 mos, Bengaluru, Karnataka, India, Full Stack Developer internship focused on designing and developing web applications using modern frameworks and technologies\. Responsibilities included: \- Developed responsive web applications using FastAPI backend and React/Vite frontend \- Collaborated with senior developers on architecture decisions and code reviews \- Implemented RESTful APIs and integrated third\-party services \- Participated in agile development processes and sprint planning \- Debugged and optimized application performance \- Worked with relational databases and implemented data models \- Contributed to deployment and CI/CD pipeline improvements Key Technologies: FastAPI, React, TypeScript, SQL, Docker, Git

## Education

Computer Science, PES University

[View the original profile](https://tal.club/meet/gunashekhar-p)

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