01
SDE I @ Amazon · New York
I build systems that make hard ideas useful.
I'm Tejas—an SDE at Amazon and Georgia Tech alumnus working across production software, machine learning, and quantitative finance.
05+Years building software
B.S. + M.S.Georgia Tech computer science
AI × FinanceThe problems I keep returning to
01 / Selected work
Built to answer real questions.
Selected products and experiments across software, data, and finance.
02
Planner and evaluation harness
TokenSmith Query Decomposition
A planner for multi-hop retrieval whose three-pass evaluation raised mean judge score from 3.93 to 4.04 while increasing mean latency from 14.7s to 23.3s.
02 / Experience
Production-minded:
Ambitious systems, clear ownership, work that holds up in production.
- Jul 2026Present
NowSoftware Development Engineer I
Amazon · New York, NY
SDE I in New York. Converted from the internship that shipped a Bedrock data-retrieval agent for Creator Assistant.
- Creator Assistant internship conversion
- Creator Social Share Services
- Aug 2025Dec 2025
Software Engineering Intern
VIVA Finance · Atlanta, GA
Modernized loan-servicing workflows spanning forbearances, settlements, principal changes, and reimbursements.
- NACHA remittance automation
- End-to-end reimbursement flows
- May 2025Aug 2025
Software Development Engineer Intern
Amazon · New York, NY
Built a data-retrieval agent for Creator Assistant with Amazon Bedrock, Java, Spring Boot, and internal reporting APIs. Used Return Control so tool calls execute in the application rather than the model, and automated evals for accuracy, relevance, latency, and tool selection.
- Return Control against prompt injection
- Evals: accuracy, relevance, latency, tool selection
- Aug 2023Aug 2025
Founder & Chief Investment Officer
GT Investments Management Club · Atlanta, GA
Founded and led a student-managed fund with $100k+ in privately raised capital. Authored the investment strategy, managed sector leads, and built quantitative tools for the team.
- $100k+ student-managed fund
- Authored strategy and managed sector leads
- Quantitative investment tools
- May 2024Aug 2024
Software Engineering Intern
CVS Health · New York, NY
Implemented automatic client-side field-level encryption for sensitive patient data in a Spring Boot and MongoDB platform.
- PHI-aware data protection
- Kubernetes resource automation
03 / About
Both an engineer and investigator.
I like turning messy questions into things people can actually use.
I earned both my Master's in Machine Learning and B.S. in Computer Science from Georgia Tech. My graduate research explored Proofs of Useful Work through arbitrary matrix multiplication; my product work spans agentic AI, secure data systems, and quantitative tools.
Away from the terminal, I follow markets, tinker with local AI hardware, and get outside when I can.
Currently focused onReliable AI · Quantitative systems · Useful interfaces
What I build with
Languages, ML, and systems tooling I use regularly.Languages
- Python
- Java
- C++
- C
- TypeScript
- JavaScript
- SQL
ML / AI
- PyTorch
- Hugging Face Transformers
- scikit-learn
- Amazon Bedrock
Systems & Data
- AWS
- Docker
- Kubernetes
- Kafka
- Spring Boot
- PostgreSQL
- MongoDB
- OpenMPI
- Git
How I use AI
Local models, real hardware, agentic tooling.Models
- Qwen
- Nemotron
- Claude
Hardware
- DGX Spark
Dev tools
- Cursor
- Codex
04 / The personal feed
What's moving off the clock.
A live feed of activity.
Run · Aug 23
Mid and a half lol
- Distance
- 1.5 mi
- Moving
- 16m
- Elev
- —
Tennis · Aug 30
Tennis
- Distance
- 2.4 mi
- Active
- 1h 56m
- Week steps
- 50,608
Current direction
SDE I at Amazon in New York.
Georgia Tech M.S. CS (Machine Learning) alum, focused on reliable AI, quantitative systems, and useful interfaces.05 / Say hello