---
title: "Rohan Immidichetty - Full Stack Engineer Intern in Greater Bengaluru Area | Tal"
description: "Meet Rohan Immidichetty, Building Production LLM Systems | AI modeling & Fine tuning based in Greater Bengaluru Area. AI stack includes claude code, claude, and gemini. Explore public work links including github, leetcode, and codeforces."
image: "https://tal.club/meet/rohan-immidichetty/share-image"
---

# Rohan Immidichetty on Tal

## Headline

Building Production LLM Systems \| AI modeling & Fine tuning

## About

I am a B\.Tech student specializing in Internet of Things \(IoT\) with a strong focus on building intelligent, real\-world systems at the intersection of Artificial Intelligence, Generative AI, IoT, Robotics, and Blockchain\. Over time, I have actively worked on developing practical, end\-to\-end engineering solutions that integrate embedded systems, wireless communication, computer vision, and AI\-driven intelligence to solve real\-world problems\. 🚀 Key Projects & Experience: • Smart Greenhouse Monitoring using LoRa Mesh / LoRaWAN for long\-range wireless communication • Outdoor Air Quality & Weather Monitoring Systems with real\-time data processing • Helmet Detection System using Computer Vision \(OpenCV\) • Healthcare Monitoring Systems with sensor integration • LoRaWAN\-based Smart Street Lighting for scalable smart city applications • GenAI\-powered Voice\-Interactive Robotic Assistant • Robotics and AI Agent\-based systems integrating automation and decision\-making 🛠 Technical Expertise: • Embedded Systems & ESP32 Development • Wireless Communication \(LoRa, LoRaWAN, IoT Networks\) • Computer Vision \(OpenCV\) • Generative AI & AI Agents • Blockchain & Web3 Fundamentals • Full\-stack development \(React, Node\.js\) I enjoy building end\-to\-end systems — from hardware design and sensor integration to backend development and intelligent AI models\. My goal is to create scalable, efficient, and impactful smart systems that bridge the gap between the physical and digital world\. 🎯 Current Interests: 🔹 AI\-powered intelligent systems & autonomous agents 🔹 Scalable IoT architectures and wireless networks 🔹 Robotics and real\-time automation 🔹 Blockchain\-enabled secure systems 🏀 Beyond technology, I actively engage in basketball, badminton, and gymnastics, which have strengthened my discipline, teamwork, and resilience\. I am currently seeking internships, international opportunities, and collaborative projects where I can contribute, learn, and build impactful technology\. 📩 Open to connecting with recruiters, researchers, and innovators working on cutting\-edge technologies\.

## Location

Greater Bengaluru Area

## AI stack

claude code

claude

gemini

n8n

openai

Wispr Flow

## Work experience

Full Stack Engineer Intern at Cognizant, Apr 2026 \- Aug 2026 · 5 mos, Chennai

AI Data Annotator at Mindrift, Jan 2025 \- Dec 2025 · 1 yr, Remote, Developed AI training datasets for Computer Science, Programming, Data Structures, Algorithms, and Software Engineering\. Authored complex prompts to evaluate reasoning, planning, debugging, and code generation capabilities\. Evaluated AI\-generated responses for correctness, logical consistency, efficiency, and technical accuracy\.

LLM Evaluation & Prompt Engineer at Outlier, Oct 2024 \- Jun 2025 · 9 mos, Remote, Engineered and optimized high\-complexity prompt architectures \(including few\-shot examples and chain\-of\-thought reasoning\) to train and fine\-tune frontier LLMs\. Evaluated and benchmarked AI\-generated outputs for technical accuracy, code quality, logic, and alignment constraints, directly contributing to model optimization pipelines\. Designed adversarial prompts \(red\-teaming\) to stress\-test model boundaries, minimize hallucinations, and ensure deterministic behavioral guardrails\. Reviewed, debugged, and annotated complex code generations \(Python, Java, SQL, etc\.\) to train specialized AI coding models for enterprise\-level deployment\.

Conservation & Sustainability Extern at National Geographic Society, Aug 2024 \- Feb 2025 · 7 mos, India, Selected for a global virtual externship by the National Geographic Society, in partnership with The Nature Conservancy, focused on conservation, climate action, and environmental leadership, with an emphasis on solving real\-world nature\-related challenges and identifying resources to support community\-driven solutions\.

Peer Mentor at KL University, Jul 2023 \- Apr 2026 · 2 yrs 10 mos, Vijayawada

## Education

Bachelor of Technology \- BTech, Internet of Things, kl university

12th, Physics chemistry mathematics computer science, Narayana Institute

## Public links

- github: https://github\.com/icrohan
- leetcode: https://leetcode\.com/rohan
- codeforces: https://codeforces\.com/profile/rohan
- linkedin\.com: https://www\.linkedin\.com/in/rohan\-immidichetty\-59a752249/

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

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