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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

Bangalore Urban

< 1 year of work experience

Council of Scientific and Industrial Research
Nov 20253 moFeb 2026

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
Sankara Eye Hospitals India
Apr 20232 moJun 2023

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%.

Alvin’s AI Stack

antigravity
antigravity
claude code
claude code
codex
codex
gemini
gemini
langchain
langchain
langgraph
langgraph

Education

B. M. S. College of Engineering

Bachelor of Engineering - BE, Computer Science

B. M. S. College of Engineering

20234 yrs2027
Indian Institute of Technology, Madras

Data science, Computer Science

Indian Institute of Technology, Madras

20234 yrs2027

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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/

Alvin ST - Research Intern in Bangalore Urban | Tal