---
title: "Ishaan Snehal Parikh - SDE Intern in Bengaluru | Tal"
description: "Meet Ishaan Snehal Parikh, B.E. CSE @ RVCE | B.S. Data Science @ IIT Madras |Samsung PRISM Intern’26| Former Agentic AI Intern @ Tata AIA | Head of Operations at ACM RVCE| Co-founder & COO, Gujarat Junction Cloud Kitchen based in Bengaluru. AI stack includes claude code, claude, and codex. Explore..."
image: "https://tal.club/meet/ishaan-snehal-parikh/share-image"
---

# Ishaan Snehal Parikh on Tal

## Headline

B\.E\. CSE @ RVCE \| B\.S\. Data Science @ IIT Madras \|Samsung PRISM Intern’26\| Former Agentic AI Intern @ Tata AIA \| Head of Operations at ACM RVCE\| Co\-founder & COO, Gujarat Junction Cloud Kitchen

## Location

Bengaluru

## AI stack

claude code

claude

codex

gemini

kiro

ChatGPT

## Work experience

SDE Intern at Honeywell Technology, Jun 2026 \- Present · 4 mo, Bengaluru, Karnataka, India

Student Member and SAC team at IEEE Computer Society RVCE, Feb 2026 \- Present · 9 mos, \-Currently working on the project titled "Lightweight MobileViT\-Graph Network for Topological Rural Road Extraction from Satellite Imagery" under the IAmPro 2026 Program

Senior Executive at RVCE ACM Student Chapter, Dec 2025 \- Present · 11 mos, Bengaluru, Karnataka, India, \-Ensured the recruitment process of incoming batches was conducted successfully and transparently \-Successfully organised the ACM CTF in March 2026, and contributed as a question setter

Samsung PRISM AI Research Intern at Samsung R&D Institute India \- Bangalore, Nov 2025 \- Present · 1 yr, Bengaluru, Karnataka, India, Samsung PRISM Intern – AI Operating Systems \(AIOS\) Scheduler Research at Samsung Research Institute Bangalore \(SRIB\) \-Researched AI Operating System \(AIOS\) scheduling strategies for concurrent on\-device AI workloads, evaluating how transformer models compete for CPU, GPU, NPU, and memory resources in heterogeneous mobile environments\. \-Designed and implemented 7 scheduling algorithms \(FCFS, SJF, SRTF, Round Robin, Lottery, Priority, and MLFQ\), building a simulation\-driven benchmarking framework using the ONNXim NPU simulator to evaluate GPT\-2, BERT\-Base, and OPT\-125M inference workloads\. \-Benchmarked 89\+ concurrent AI inference tasks, analyzing latency, throughput, fairness, waiting time, resource utilization, and deadline compliance to identify trade\-offs between responsiveness, QoS, and starvation prevention\. \-Improved deadline satisfaction from \~1% \(FCFS\) to 100% \(Preemptive Priority\) and achieved 94\.4% deadline compliance with MLFQ, while reducing lightweight inference latency from >900 ms to \~4 ms and maintaining high hardware utilization\. \-Delivered data\-driven recommendations for AI\-aware scheduling policies balancing responsiveness, fairness, throughput, and QoS, contributing insights for future Samsung on\-device AI platforms\. \-Tech used: C\+\+ · Python · ONNXim · ONNX Runtime · GPT\-2 · BERT\-Base · OPT\-125M · AI Scheduling Algorithms · Operating Systems · CPU/GPU/NPU Simulation · Performance Benchmarking · Linux · Git

Agentic AI Engineer Intern – Consumer Technology & Health Wellness Decision Systems at Tata AIA Life Insurance, Aug 2025 \- Present · 1 yr 3 mos, Bengaluru, Karnataka, India, \-Engineered a production\-ready Agentic AI e\-KYC chatbot orchestrating 5\+ document types using LangGraph\-based, state\-controlled multi\-agent workflows, OCR, and retrieval\-augmented classification, reducing manual verification by \~60–70% and onboarding time by \~40–50%\. \-Implemented a hierarchical memory architecture \(L1/L2/L3\) using Redis and vector databases, enabling the e\-KYC chatbot to remember user details across sessions, reduce KYC decision time by \~35–40%, integrate smoothly with Lead\-to\-Issuance \(L2I\) workflows, and improve L2I efficiency\. \-Delivered the system end\-to\-end within a 6\-week internship timeline, following clean coding practices and structured reviews\.

Student Member at Google Developer Groups RVCE, May 2025 \- Present · 1 yr 6 mos, Bengaluru, Karnataka, India, \-Member of the Open Source and Development Team at Google Developers Group, RVCE \-Successfully conducted the recruitment for the incoming batches \-Assisted the organising committee in the Vision2047 Hackathon in registrations and event management

Junior Executive at RVCE ACM Student Chapter, Dec 2024 \- Dec 2025 · 1 yr 1 mo, Bengaluru, Karnataka, India, \-Successfully organized the Tech Tank 2025 from April 7\-9 2025 and helped the organizing committee as a volunteer\.

## Education

Bachelor of Science \- BS, Data Science and Applications, Indian Institute of Technology, Madras

Bachelor of Engineering \- BE, Computer Science and Engineering, RV College of Engineering

## Public links

- github: https://github\.com/ishaanparikh14
- youtube\.com: https://youtube\.com/@ishaansnehalparikh3687
- ishaanparikh\.vercel\.app: https://ishaanparikh\.vercel\.app/

[View the original profile](https://tal.club/meet/ishaan-snehal-parikh)

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