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Portrait of Tejas Vermani

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.

Three-pass aggregate · 19 questions

Mean judge score
3.93 → 4.04
Keyword recall
0.579 → 0.580
Mean request latency
14.7s → 23.3s

Baseline → planner · measured aggregate, limited scope

02

Planner and evaluation harness

TokenSmith Query Decomposition

  • Public planner/evaluation snapshot
  • Project status not reported

Across three passes on 19 questions, the planner reported a 4.04 vs 3.93 mean judge score, 0.580 vs 0.579 keyword recall, and 23.3s vs 14.7s mean request latency.

  • Python
  • RAG
  • Evals
  • Local LLMs

Private projects

What the projects address, my contribution, and their potential value. Request a walkthrough to continue the conversation.

Personal finance workspace

Smart Vault

Source code is private.

A personal finance application that brings accounts, transactions, budgets, and liquidity planning into one workspace.

The need
Financial activity and upcoming obligations can be difficult to review across separate accounts and tools.
My contribution
Built the finance interface and backend, including liquidity-planning functionality.
Role
Sole developer (AI-assisted)
Potential value
Could make it easier to understand cash needs and financial priorities in one place.

Personal AI coordination

Life Orchestrator

Source code is private.

A personal AI coordination system that manages assistant requests, permissions, and human approvals.

The need
Personal AI tools need a consistent way to coordinate work while keeping sensitive actions under human control.
My contribution
Built the orchestration backend and operator dashboard, including human-approval workflows.
Role
Sole developer (AI-assisted)
Potential value
Could help people supervise assistant activity and keep permission decisions consistent across tools.

Market research and personal watchlists

Kinscape

Source code is private.

A market-research workspace with quotes, news, and personal watchlists for signed-in users.

The need
Researching a company can mean moving between quote pages, news, and separate lists of companies to follow.
My contribution
Built the market-research application and its interface for company research and personal watchlists.
Role
Sole developer (AI-assisted)
Potential value
Could help users organize market research around the companies they follow, with watchlists tied to their account.

Personal AI chat interface

Home LLM

Source code is private.

A private chat interface for a personal AI system, with conversation history, model choices, and approval prompts.

The need
Working with a personal AI system needs a usable interface for conversations and supervised actions.
My contribution
Built the chat application, including conversation management, model selection, and approval prompts.
Role
Sole developer (AI-assisted)
Potential value
Could make a personal AI system easier to use while keeping approval decisions visible.

Inactive research project

Prediction Arb Bot

Source code is private · Inactive project.

An inactive research bot for comparing related prediction markets across exchanges.

The need
Related prediction markets can be difficult to compare when exchanges describe and price events differently.
My contribution
Built the research bot and API for reviewing market comparisons.
Role
Sole developer (AI-assisted)
Potential value
Could support discussion of market-data comparison and research limitations. No live trading access or returns are presented.

02 / Experience

Production-minded:

Ambitious systems, clear ownership, work that holds up in production.

  1. Jul 2026Present
    Amazon logo

    Software Development Engineer I

    Amazon · New York, NY

    Now

    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
  2. Aug 2025Dec 2025
    VIVA Finance logo

    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
  3. May 2025Aug 2025
    Amazon logo

    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
  4. Aug 2023Aug 2025
    Georgia Tech seal

    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
  5. May 2024Aug 2024
    CVS Health logo

    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.

Tejas paddleboarding on the ocean
Off screen, preferably near water.

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.

Fitbit Connected

Sport · Oct 3

Sport

Distance
1.8 mi
Active
1h 21m
Week steps
74,942
Synced from Fitbit
NowFall 2026

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.
Start a conversation

05 / Say hello

Have a hard problem worth making useful?

tejasvermani@gmail.com

For a technical walkthrough, include the project name in your note.

Request a technical walkthrough