Chaitanya Balani profile photo 1 on Tal

Chaitanya Balani

SDE 1 @ Dezerv | Building Scalable Backend Systems | BITS Pilani’24

Bengaluru

3+ years of work experience

Dezerv
Jun 20242 yrs 3 mosPresent

Bengaluru, Karnataka, India

Backend engineer , Golang mongo db stack
Jun 20242 yrs 3 mosPresent

• Designed gate-based quality checks that advanced the pipeline only when generated code, tests, and artifacts matched the feature spec, HLD, and LDD; added state tracking, auto-continue hooks, structured artifact generation, dashboard-driven inputs, and JIT file steering using API context, indexed code, domain docs, and coding-pattern docs. [Kiro, OpenAPI, CGC, Agentic Workflows] • Built and shipped an enhanced rebalancing flow in a 3-day sprint using the agentic pipeline, enabling seamless execution across all Dezerv strategies and reducing operational turnaround time from 3 hours to 15 minutes. Owned delivery end-to-end by identifying PRD gaps, aligning changes with product, revising timelines, and communicating execution trade-offs with stakeholders. [Golang, MongoDB, AWS, ReactJS, Agentic Workflow] • Architected an event-driven internal operations portal for high-volume money movement workflows across investment strategies, enabling Rs. 500 Cr+ AUM movement through asynchronous processing, workflow automation, and production-grade monitoring. Planned NFRs, component-level metrics, failure-point coverage, and Slack alerts during design to improve operational reliability. [Golang, MongoDB, AWS, Argo Jobs] • Scaled the “One Model” portfolio rebalancing engine by introducing parallel processing and queue-based fan-out execution, reducing runtime by 83.3% from 1.2 hours to 15 minutes for 5,000+ portfolios. Added observability across worker queues and execution failure points to support faster debugging and recovery. [Golang, MongoDB, AWS, Argo Jobs] • Implemented SIP/STP forecasting in the rebalancing engine to account for scheduled cash flows during allocation calculations, improving recommendation accuracy across portfolio update workflows. [Python, Golang, PostgreSQL] • Built configuration-driven GitHub CI/CD pipelines to deploy and remove AWS Lambda functions and Step Functions across environments with repeatable release workflows.
Dezerv
Jul 20236 mosDec 2023

Bengaluru, Karnataka, India

UST
May 20223 mosJul 2022

India

Chaitanya’s AI Stack

claude code
claude code
cursor
cursor
hermes agent
hermes agent
kiro
kiro
langfuse
langfuse
mcp
mcp

Education

Birla Institute of Technology and Science, Pilani

BE manufacturing, Nothing yet.

Birla Institute of Technology and Science, Pilani

20203 yrs2023
Birla Institute of Technology and Science, Pilani

Bachelor of Engineering, Manufacturing Engineering

Birla Institute of Technology and Science, Pilani

Join Chaitanya and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Chaitanya Balani on Tal

Headline

SDE 1 @ Dezerv | Building Scalable Backend Systems | BITS Pilani’24

About

Software Development Engineer with 2.5 years of experience as a full-stack developer, with a strong focus on backend systems, distributed architecture, and high-volume execution pipelines. Experienced in building scalable services using Go, MongoDB, AWS, and React.js across event-driven workflows, internal dashboards, portfolio rebalancing engines, and automation platforms. I have worked on performance-critical systems involving queue-based processing, workflow orchestration, operational monitoring, and fault-tolerant execution.Have owned end-to-end features ,made design docs(HLD/LLD) , making component plans including time for metrics , code reviews , on-call tasks , end to end UAT testing , identifying cross team dependencies, distributing work to fellow teammates , Won the Maverick Badge in the Caliber Challenge for building a fully autonomous Software Development Agentic Pipeline that supports spec-driven feature delivery, automated design, implementation, review, testing, and quality-gated execution. Currently focused on backend engineering, scalable system design, developer productivity, and AI-assisted software development workflows.

Location

Bengaluru

AI stack

claude code

cursor

hermes agent

kiro

langfuse

mcp

Work experience

SDE 1 at Dezerv, Jun 2024 - Present · 2 yrs 3 mos, Bengaluru, Karnataka, India, Backend engineer , Golang mongo db stack

Software Engineer at Dezerv Investments, Jun 2024 - Present · 2 yrs 3 mos, • Designed gate-based quality checks that advanced the pipeline only when generated code, tests, and artifacts matched the feature spec, HLD, and LDD; added state tracking, auto-continue hooks, structured artifact generation, dashboard-driven inputs, and JIT file steering using API context, indexed code, domain docs, and coding-pattern docs. [Kiro, OpenAPI, CGC, Agentic Workflows] • Built and shipped an enhanced rebalancing flow in a 3-day sprint using the agentic pipeline, enabling seamless execution across all Dezerv strategies and reducing operational turnaround time from 3 hours to 15 minutes. Owned delivery end-to-end by identifying PRD gaps, aligning changes with product, revising timelines, and communicating execution trade-offs with stakeholders. [Golang, MongoDB, AWS, ReactJS, Agentic Workflow] • Architected an event-driven internal operations portal for high-volume money movement workflows across investment strategies, enabling Rs. 500 Cr+ AUM movement through asynchronous processing, workflow automation, and production-grade monitoring. Planned NFRs, component-level metrics, failure-point coverage, and Slack alerts during design to improve operational reliability. [Golang, MongoDB, AWS, Argo Jobs] • Scaled the “One Model” portfolio rebalancing engine by introducing parallel processing and queue-based fan-out execution, reducing runtime by 83.3% from 1.2 hours to 15 minutes for 5,000+ portfolios. Added observability across worker queues and execution failure points to support faster debugging and recovery. [Golang, MongoDB, AWS, Argo Jobs] • Implemented SIP/STP forecasting in the rebalancing engine to account for scheduled cash flows during allocation calculations, improving recommendation accuracy across portfolio update workflows. [Python, Golang, PostgreSQL] • Built configuration-driven GitHub CI/CD pipelines to deploy and remove AWS Lambda functions and Step Functions across environments with repeatable release workflows.

Intern at Dezerv, Jul 2023 - Dec 2023 · 6 mos, Bengaluru, Karnataka, India

Internship Trainee at UST, May 2022 - Jul 2022 · 3 mos, India

Education

BE manufacturing, Nothing yet., Birla Institute of Technology and Science, Pilani

Bachelor of Engineering, Manufacturing Engineering, Birla Institute of Technology and Science, Pilani

Public links

github: https://github.com/Chaitanyabalani