---
title: "Alvin ST - Research Intern in Bangalore Urban | Tal"
description: "Meet Alvin ST, CSE Student at B.M.S. College of Engineering | Code by Day, Drums by Night | Web Dev & AI Tech Geek | Competitive Programming Gladiator based in Bangalore Urban. AI stack includes antigravity, claude code, and codex. Explore public work links including github and protofoliowebsite-si..."
image: "https://tal.club/meet/alvin-s-thottappilly/share-image"
---

# Alvin ST on Tal

## Headline

CSE Student at B\.M\.S\. College of Engineering \| Code by Day, Drums by Night \| Web Dev & AI Tech Geek \| Competitive Programming Gladiator

## Location

Bangalore Urban

## AI stack

antigravity

claude code

codex

gemini

langchain

langgraph

## Work experience

Research Intern at Council of Scientific and Industrial Research, Nov 2025 \- Feb 2026 · 3 mo, Bangalore, • Author of the paper “Regime\-Aware Cooperation in Multi\-Echelon Inventory Control: Curriculum Pretraining and a Zero\-Shot LLM Supervisor”, which turns the MARL cooperation weight α from a fixed hyperparameter into a run\-time control input\. • Cut per\-period cost by 12\.8% under a pulse demand shock and 6\.9% under a demand collapse versus a reproduced single\-α specialist, with α frozen at execution time, so the gain needs no supervisor and no API call at run time\. • Raised in\-distribution customer fill rate by \+7\.1 points \(55\.7% → 62\.8%\) and service level from 31\.0% → 43\.3% at cost parity \(p ≈ 10−12\)\. • Built a dual\-timescale LLM supervisor that reassigns a per\-echelon α vector every 20 periods; zero\-shot, it matched a hand\-tuned rule base to within

Design & Process Improvement Intern at Sankara Eye Hospitals India, Apr 2023 \- Jun 2023 · 2 mo, Bengaluru, Karnataka, India, • Mapped the OPD \(outpatient\) patient journey from registration through consultation to cross\-department referral, and analyzed workflow data with Python \(Pandas, NumPy\) to find bottlenecks, high\-delay stages and referral leakage across departments\. • Defined and tracked 8 operational KPIs: OPD wait time, stage\-wise waiting time, visit cycle time, patient throughput, appointment no\-show rate, referral turnaround time \(TAT\), referral leakage rate and doctor utilization\. • Built a referral prioritization model using historical patient\-flow features \(arrival time, department load, referral type, urgency score\) to support faster triage decisions\. • Designed KPI dashboards and standardized preprocessing and reporting pipelines; recommendations reduced cross\-referral patient wait times by 30%\.

## Education

Bachelor of Engineering \- BE, Computer Science, B\. M\. S\. College of Engineering

Data science, Computer Science, Indian Institute of Technology, Madras

## Public links

- github: https://github\.com/a1l2v
- protofoliowebsite\-silk\.vercel\.app: https://protofoliowebsite\-silk\.vercel\.app/

[View the original profile](https://tal.club/meet/alvin-s-thottappilly)

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