Aayush Rai profile photo 1 on Tal

Aayush Rai

Technical Lead

Bengaluru

6+ years of work experience

Give
Nov 20259 moPresent

Bengaluru, Karnataka, India

Karbon Business
Jan 20241 yr 11 mosNov 2025

Karbon Business
Aug 20221 yr 5 mosDec 2023

- Last 6 months: scaled MVP into a full accounting automation product; onboarded 250+ beta customers and added two-way sync with Zoho Books & Tally Prime. - Built backend on Django, exposing 200+ user-facing APIs (DRF) for bills, transactions, invoices, company profiles, reporting, and automation workflows. - Engineered AI-powered document & transaction extraction/enrichment using OpenAI, Anthropic, and FinBox, delivering 90%+ accuracy on bank, card, e-commerce statements and bills. - Built a test bench for AI Agents/AI Models to evaluate approaches, improving accuracy tracking and enabling 3× faster deployments of better version. - Implemented event-driven pipelines with AWS EventBridge + SQS to drive reliable bi-directional sync with external accounting tools. - Containerized and shipped with Docker; set up Bitbucket CI/CD (linting, tests, security scans) and Terraform-managed AWS (ECS, RDS, S3, ECR, ElastiCache, CloudWatch, Secrets Manager) → 2× faster releases & 90% fewer failures. - Maintained 90%+ automated test coverage across 50K+ LOC; upheld reliability with MTTR <12h (P1) and <2 days (P2). - Built React UIs for the credit engine and prepaid card onboarding to streamline analyst and customer flows. - Shipped a RAG chatbot (OpenAI + Pinecone) answering 200+ FAQs, reducing support effort. - Created a QA Chrome extension and an AI model test bench, enabling 3× faster evaluation and rollout of improved models. - Automated reporting, database maintenance, and sync tasks with Celery.
GAMMASTACK
Jun 20211 yr 3 mosAug 2022

Indore, Madhya Pradesh, India

• Design and Implemented one-to-one live chat for chat support. • Implemented feature to calculate tax on order according to state and product category using Taxjar. • Implemented product subscription feature which helps the user in recurring orders and payments. • Implemented feature to onboard the seller. • Automated seller biweekly payout using Cron Job and stripe. • Implemented feature to show user payment methods, add a new payment method, or remove an existing payment method. • Implemented UI designs in React for multiple websites.
ResoluteAI.in
Dec 20207 mosJun 2021

Indore, Madhya Pradesh, India

• Migrated attendance management system(based on face recognition) from a monolithic architecture to microservice architecture. • Implemented feature to synchronize local database with firebase real-time database using GCP cloud function. • Improved communication speed between microservice by 60% using Socket over HTTP.
TDB.ai
May 20205 mosSep 2020

Madhya Pradesh, India

• Improved total response time of multiple deep learning models by introducing threading. • Implemented features like fall detection, intruder detection, fire detection, and alert. • Trained and tested different deep learning models. • Integrated the Deep Learning models with Django. • Built the logic for a face recognition-based attendance system.
GitHub
@aayushrai
LeetCode
@Aayush_rai

Aayush’s AI Stack

anthropic apis
anthropic apis
claude code
claude code
claude
claude
codex
codex
cursor
cursor
langchain
langchain

Education

Bachelor of Technology - BTech, Computer Science

Medi Caps Institute of Technology and Management (Management), A.B. Road, Pigdamber, Indore 453331

20174 yrs2021

Join Aayush and 10k+ other professionals on

Tal Boss

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

Download Tal Boss

Aayush Rai on Tal

Headline

Technical Lead

About

Karbon Business relies on contributions to AI-driven systems, microservices, and event-driven architectures. Delivered a high-performing Master Data Service with 100+ user-facing APIs and AI-powered extraction services, achieving over 90% accuracy through dynamic routing and OpenAI integration. Enabled seamless inter-service communication with AWS EventBridge and SQS while maintaining modularity and reliability with 90%+ test coverage. With a Computer Science degree from Medi Caps Institute of Technology and Management, expertise spans Python, Django, and cloud-based architectures. Dedicated to creating scalable, innovative solutions that align technology with organizational goals. Passionate about leveraging AI and systems design to drive operational excellence.

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

codex

cursor

langchain

Work experience

Senior Software Engineer at Give, Nov 2025 - Present · 9 mo, Bengaluru, Karnataka, India

Senior Software Engineer at Karbon Business, Jan 2024 - Nov 2025 · 1 yr 11 mos

Software Engineer at Karbon Business, Aug 2022 - Dec 2023 · 1 yr 5 mos, - Last 6 months: scaled MVP into a full accounting automation product; onboarded 250+ beta customers and added two-way sync with Zoho Books & Tally Prime. - Built backend on Django, exposing 200+ user-facing APIs (DRF) for bills, transactions, invoices, company profiles, reporting, and automation workflows. - Engineered AI-powered document & transaction extraction/enrichment using OpenAI, Anthropic, and FinBox, delivering 90%+ accuracy on bank, card, e-commerce statements and bills. - Built a test bench for AI Agents/AI Models to evaluate approaches, improving accuracy tracking and enabling 3× faster deployments of better version. - Implemented event-driven pipelines with AWS EventBridge + SQS to drive reliable bi-directional sync with external accounting tools. - Containerized and shipped with Docker; set up Bitbucket CI/CD (linting, tests, security scans) and Terraform-managed AWS (ECS, RDS, S3, ECR, ElastiCache, CloudWatch, Secrets Manager) → 2× faster releases & 90% fewer failures. - Maintained 90%+ automated test coverage across 50K+ LOC; upheld reliability with MTTR <12h (P1) and <2 days (P2). - Built React UIs for the credit engine and prepaid card onboarding to streamline analyst and customer flows. - Shipped a RAG chatbot (OpenAI + Pinecone) answering 200+ FAQs, reducing support effort. - Created a QA Chrome extension and an AI model test bench, enabling 3× faster evaluation and rollout of improved models. - Automated reporting, database maintenance, and sync tasks with Celery.

Solution engineer at GAMMASTACK, Jun 2021 - Aug 2022 · 1 yr 3 mos, Indore, Madhya Pradesh, India, • Design and Implemented one-to-one live chat for chat support. • Implemented feature to calculate tax on order according to state and product category using Taxjar. • Implemented product subscription feature which helps the user in recurring orders and payments. • Implemented feature to onboard the seller. • Automated seller biweekly payout using Cron Job and stripe. • Implemented feature to show user payment methods, add a new payment method, or remove an existing payment method. • Implemented UI designs in React for multiple websites.

Software developer intern at ResoluteAI.in, Dec 2020 - Jun 2021 · 7 mos, Indore, Madhya Pradesh, India, • Migrated attendance management system(based on face recognition) from a monolithic architecture to microservice architecture. • Implemented feature to synchronize local database with firebase real-time database using GCP cloud function. • Improved communication speed between microservice by 60% using Socket over HTTP.

Computer Vision Intern at TDB.ai, May 2020 - Sep 2020 · 5 mos, Madhya Pradesh, India, • Improved total response time of multiple deep learning models by introducing threading. • Implemented features like fall detection, intruder detection, fire detection, and alert. • Trained and tested different deep learning models. • Integrated the Deep Learning models with Django. • Built the logic for a face recognition-based attendance system.

Education

Bachelor of Technology - BTech, Computer Science, Medi Caps Institute of Technology and Management (Management), A.B. Road, Pigdamber, Indore 453331

Public links

github: https://github.com/aayushrai

leetcode: https://leetcode.com/Aayush_rai