Akhil Bhalerao, Developer in Bengaluru, Karnataka, India
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Akhil Bhalerao

Software Developer

Bengaluru, Karnataka, India

Toptal member since June 3, 2026

Bio

Akhil is a back-end-first software engineer with 3+ years of experience building high-scale financial and AI systems. He has architected solutions with a projected $10 million business impact, cut $33,000/month in operational costs, and maintained 99.99% uptime across 500,000+ user systems. From microservices and LLM integrations to compliance modules and banking partner onboarding, Akhil owns problems end-to-end from design to production.

Portfolio

6sense
Amazon EC2, Agile Software Development, Algorithms, Python 3, Bash, APIs...
Bright
Python 3, Agile Software Development, Django, Django ORM, Django REST Framework...
Flippy Finance
Amazon EC2, AWS ELB, Amazon Simple Queue Service (SQS)...

Experience

  • Python 3 - 5 years
  • Django - 4 years
  • GraphQL API - 3 years
  • REST APIs - 3 years
  • Django REST Framework - 3 years
  • Redis - 3 years
  • Apache Airflow - 2 years
  • PostgreSQL - 2 years

Preferred Environment

MacOS, Python 3, Django, Linux, PostgreSQL, Celery, Redis, Apache Airflow, Git, AWS Lambda

The most amazing...

...NACHA file engine I've built handles 4 million transactions, parallel Airflow pipelines, async job orchestration, and full observability.

Work Experience

Software Development Engineer II

2025 - PRESENT
6sense
  • Designed the LLD and implemented admin-configurable DNC compliance logic to dynamically surface call eligibility data to end users across webapp, CSV exports, IFrame, and Chrome Extension based on admin settings.
  • Architected a credit system integration for AI Email Writer, extending the platform-wide credit infrastructure. Built admin usage reporting across webapp, Chrome Extension, IFrame, and CSV exports for a seamless experience.
  • Revamped the platform reports page for improved readability and UX. Built IFrame authorization, blocking unauthorized access from CRM and SAP integrations. Resolved security and client support tickets with targeted solutions.
Technologies: Amazon EC2, Agile Software Development, Algorithms, Python 3, Bash, APIs, GraphQL, GraphQL API, AI-generated Code, Claude Code, OpenAI API, Python, Django, Django ORM, Django Ninja, Django REST Framework, Pytest, SingleStore, PostgreSQL, Git, GitHub, Postman

Software Development Engineer I

2023 - 2025
Bright
  • Architected a banking partner integration end-to-end, owning HLD/LLD through production across 22+ microservices, boosting user conversion by 15% at 99.99% uptime.
  • Built a daily refresh pipeline for 500,000+ users and 1+ million accounts, improving collection rates by 15-20% with strict SLA compliance via retry logic and monitoring.
  • Engineered an automated delink flow, removing stale users from aggregators and credit bureaus, cutting operational costs by $33,000/month with zero manual intervention.
Technologies: Python 3, Agile Software Development, Django, Django ORM, Django REST Framework, AI-generated Code, PostgreSQL, Postman, REST APIs, Apache Airflow, Pytest, FastAPI, Amazon EC2, AWS Lambda, AWS ELB, NGINX, Docker, Git, GitHub, Prometheus

Back-end Developer Intern

2022 - 2023
Flippy Finance
  • Optimized APIs, reducing response time from 500ms to 50ms, achieving a 10x performance improvement and significantly enhancing user experience.
  • Built a distributed notification microservice handling 1M+ notifications using Kafka and AWS SNS, maintaining 99.9% uptime under production load.
  • Integrated BitBNS cryptocurrency aggregator APIs for real-time crypto data sync, engineered reconciliation pipelines to ensure transaction accuracy, and implemented secure user authentication flows for the mobile application.
Technologies: Amazon EC2, AWS ELB, Amazon Simple Queue Service (SQS), Amazon Simple Notification Service (SNS), FastAPI, Graphene, Django, Django REST Framework, Amazon DynamoDB, PostgreSQL, JSON Web Tokens (JWT), Auth

Experience

RAG Chatbot – Domain-specific LLM Assistant

https://github.com/iamakkkhil/RAG_ChatBot
A Retrieval-Augmented Generation (RAG) chatbot that grounds LLM responses in custom document collections to reduce hallucinations. I built the full pipeline document ingestion, text chunking, vector embedding with ChromaDB, and semantic retrieval via LangChain before passing context to the LLM. The system allows domain-specific Q&A over private knowledge bases, a pattern directly applicable to enterprise AI assistants, internal tooling, and support automation use cases.

CodeDaily – Developer Newsletter Platform

https://github.com/iamakkkhil/CodeDaily-Newsletter
CodeDaily is a newsletter platform built for developers that delivers curated coding content via automated email. I designed and built the full system using Django, subscriber management, content curation interface, and automated email dispatch via SMTP. The platform handles subscriber sign-ups, stores content in SQLite, and sends scheduled newsletters to the mailing list. Built end-to-end as a solo project, it demonstrates my ability to combine backend web development with async communication workflows and content delivery automation.

Twipture – Tweet to Image Converter

https://github.com/iamakkkhil/Twipture
Twipture is a web app that converts any tweet into a shareable image optimized for Instagram and LinkedIn. I built the full product independently on an Express back end, React front end, and a Twitter API integration. On launch day, Twipture trended on Twitter with zero marketing spend, driven entirely by organic utility. The project demonstrates my ability to ship fast, build around 3rd-party APIs, and create products that real users adopt immediately.

eShare – Secure File Sharing Service

https://github.com/iamakkkhil/eShare
eShare is a full-stack file-sharing web app that lets users upload files and receive a secure download link valid for 24 hours. I designed and built the entire system solo using a Node.js/Express back end, a React front end, Gmail SMTP integration for email delivery, and an automated cron job for expired file cleanup. The project has 8 GitHub stars and 4 forks, and demonstrates end-to-end product ownership, including async operations, 3rd-party integrations, and time-based automation.

Education

2019 - 2023

Bachelor's Degree in Information Technology

International Institute of Information Technology, Pune - Pune, India

Certifications

AUGUST 2020 - PRESENT

Node-RED: Basics to Bots

Cognitive Class

JULY 2020 - PRESENT

Machine Learning

Coursera

JUNE 2020 - PRESENT

AI for Everyone

Coursera

JUNE 2020 - PRESENT

Python (Basic) Certificate

HackerRank

MAY 2020 - PRESENT

Python Complete Developer 2020: Zero to Mastery

Udemy

Skills

Libraries/APIs

GraphQL API, Django ORM, REST APIs, React, TensorFlow, Scikit-learn, OpenAI API, Node.js, X (formerly Twitter) API, Auth

Tools

Git, GitHub, Celery, AWS ELB, Pytest, Apache Airflow, Claude Code, Postman, NGINX, Amazon Simple Queue Service (SQS), Amazon Simple Notification Service (SNS), Graphene

Languages

Python 3, Bash, SQL, GraphQL, Python, JavaScript, HTML, C++, CSS, Java

Frameworks

Django, Django Ninja, Django REST Framework, Tailwind CSS, Flask, Express.js, JSON Web Tokens (JWT)

Paradigms

Object-oriented Programming (OOP), Low-code Development, Agile Software Development, Event-driven Architecture, Functional Programming, Software Testing, Anomaly Detection, REST

Platforms

MacOS, Amazon EC2, AWS Lambda, Linux, Docker

Storage

PostgreSQL, SQLite, Redis, MongoDB, Amazon DynamoDB

Other

Algorithms, Third-Party API & Webhook Integration, Cross-functional Team Collaboration, AI Agents, Conversational AI Design, Cognitive API Integration, Artificial Intelligence (AI), AI Product Strategy, Machine Learning, Data Science Workflows, AI Ethics, Responsible AI, AI Enablement, Web Scraping, Debugging, Regular Expressions, Automation Scripting, Supervised Learning, Supervised Machine Learning, Unsupervised Learning, Unsupervised Machine Learning, Model Evaluation, Model Tuning, Feature Engineering, Neural Networks, APIs, AI-generated Code, SingleStore, SMTP, LangChain, ChromaDB, RAG Systems, LLM Integration, Vector Databases, FastAPI, Prometheus

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