Resume (PDF)

Komal Bahetwar

Staff Software Engineer · AI-Native Systems Architect

14+ years · Qapita · C#/.NET & Python · Hyderabad, India (IST)

I design distributed, auditable backend platforms and AI-native systems (LLM workflows, RAG and agentic SDLC) for fintech, from 0→1 to production scale.

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selected impact

01 · Work

Selected work

professional work · qapita

FINTECH · AI-NATIVE

AI Fund Administration Platform

Role
Engineered the foundational AI platform and backend architecture
Approach
LLM-driven orchestration · event-driven workflows · auditable system design
Purpose
Compliant AI-assisted financial operations at scale

LLM · DOCUMENT AI

Excel Ingestion Pipeline

An LLM-powered pipeline that turns unstructured Excel financial data into validated domain models, automating complex data preparation workflows.

~70% less manual effort

FINTECH · MODELING

Equity Plan Calculation Engine

Calculation engine for equity plan modeling and simulation: scalable backend services with React.js-driven workflows. It began as the AI-Assisted Equity Planning Tool that won First Place at the Qapita Internal Hackathon 2023.

~60% shorter advisory turnaround time

RAG · COPILOT

AI Customer Success Copilot

Backend pipelines for an AI Customer Success Copilot: Agentic AI / RAG, prompt engineering and knowledge retrieval.

~40% higher agent productivity

AGENTIC · SDLC

Agentic SDLC

AI agents across requirement understanding, PRD creation, story generation, implementation, quality checks and deployment strategy.

human approval gates at each stage

case studies

IISc · MULTI-AGENT

Multi-Agent Code Review

LangGraph agents review a pull request in parallel (security, bugs, style, performance), then a fix agent commits patches back to it. RAG over OWASP/CWE; RAGAS-based evaluation.

Context
IISc Bengaluru · Executive Education Program – Agentic & Generative AI
My role
Architected the multi-agent platform; built the RAG-powered code intelligence system
Year
2026
Read case study: Multi-Agent Code Review

PERSONAL PROJECT

Expense Analyzer

Add a bank statement and see where your money went. Each payment is sorted into Spent, Income, Invested or Moved: rules first, an optional on-device AI model last, and you have the final say.

Input
Bank statement · PDF or CSV
Runs
In your browser · no upload, sign-up or login
Read case study: Expense Analyzer Launch app coming soon

02 · Experience

Where I've worked

  1. Qapita

    11/2020 — Present

    Staff Software Engineer

    07/2022 — Present · Hyderabad

    Internal title: Director of Technology – Individual Contributor

    • Engineered the foundational AI platform and backend architecture for an AI-native Fund Administration solution.
    • Guided architectural direction for distributed and AI-enabled platforms: design reviews, technology selection and engineering standards across multiple product initiatives.
    • Modernized a modular monolith into distributed services with DDD, CQRS, Event Sourcing and event-driven architecture (NServiceBus).
    • Designed an LLM-powered document ingestion pipeline turning unstructured Excel financial data into validated domain models (~70% less manual effort).
    • Designed and built a financial calculation engine for equity plan modeling and simulation (~60% shorter consulting advisory turnaround time).
    • Led the design of backend pipelines for an AI Customer Success Copilot (Agentic AI / RAG, prompt engineering): ~40% higher agent productivity.
    • Designed an Agentic SDLC approach: AI agents from requirement understanding to deployment strategy, with human approval gates at each stage.
    • C#/.NET
    • Python
    • LangGraph
    • RAG
    • DDD
    • CQRS
    • NServiceBus

    Senior Software Engineer

    11/2020 — 06/2022 · Remote

    • Led the evolution of a cloud-native microservices architecture (ASP.NET Core, Node.js, REST APIs), improving service reliability by 30%.
    • Modernized CI/CD pipelines with automated unit/integration testing, increasing automation coverage by 40% and achieving 99.9% build success rates.
    • ASP.NET Core
    • Node.js
    • Docker
    • Kubernetes
    • AWS / Azure

  2. CAMP Systems

    10/2014 — 09/2020

    Senior Software Engineer

    • Improved system performance by fixing complex technical issues in key modules, reducing processing time for high-volume aviation workflows by about 20%; reviewed peer code submissions, helping reduce recurring defects.

  3. GGK Technologies

    07/2012 — 10/2014

    Software Engineer

    • Developed and scaled key system components in C#/.NET; optimized application reliability by 20% through profiling and debugging critical code paths.
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03 · About

Systems that stay correct as they scale

From high-volume aviation workflows to fintech and AI-native platforms, my work centres on systems where correctness matters: financial calculations, auditable workflows and AI-assisted financial operations.

I conceptualized backend systems supporting on-premise and cloud deployment models, incorporating PII encryption, data isolation and GDPR compliance requirements across sensitive financial workflows.

what I bring

AI-native systems

LLM orchestration, RAG and agentic workflows with human approval gates, built on auditable, event-driven foundations.

Distributed systems & DDD

Modular monolith → distributed services with DDD, CQRS, Event Sourcing and messaging (NServiceBus). Includes production debugging of concurrency and data-consistency issues.

Technical leadership

Architecture direction, design reviews, technology selection and engineering standards across multiple product initiatives.

writing

All writing on Substack (opens in a new tab)

04 · Skills

Toolbox & credentials

architecture

  • Distributed Systems
  • DDD
  • CQRS / Event Sourcing
  • Event-Driven Architecture
  • Microservices / Modular Monolith
  • System Design
  • Clean Architecture

ai

  • LLM Systems
  • Agentic AI / RAG
  • Prompt Engineering
  • LangGraph
  • LangFuse
  • VectorDb

languages & frameworks

  • C# / .NET
  • ASP.NET Core
  • Python / FastAPI
  • Node.js
  • React.js

platform & data

  • AWS / Azure
  • Docker
  • Kubernetes
  • CI/CD Pipelines
  • Messaging Systems (NServiceBus)
  • MongoDB
  • Unit / Integration Testing

education

  • Executive Education Program – Agentic & Generative AI

    Indian Institute of Science (IISc) Bengaluru · Completed

    2026

  • B.Tech, Computer Science & Engineering

    Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded

    2012

awards

  • First Place, Qapita Internal Hackathon

    AI-Assisted Equity Planning Tool, subsequently developed into a full production application

    2023

certifications

  • AI For Everyone

    Coursera

    2024

  • Algorithms: Design and Analysis, Part 1

    Coursera

    2016

05 · Contact

Get in touch

Hiring for a Senior, Staff or Principal engineering role, full-time or contract? I'd be glad to hear about it.

Email meLinkedIn (opens in a new tab) Resume (PDF)GitHub (opens in a new tab)

[email protected] · Hyderabad, India (IST)