Dipto Bhattacharjee

Software Engineer

Kolkata, West Bengal, India3 yrs 3 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led backend development for scalable web applications.
Implemented advanced AI features enhancing product capabilities.
Achieved significant cost reductions through infrastructure optimization.

Stackforce AI infers this person is a Backend Developer specializing in Cloud Engineering and AI solutions for SaaS applications.

Contact

dipto@koolio.ai LinkedIn

Skills

Core Skills

Cloud EngineeringBackend DevelopmentData Visualization

Other Skills

AIAWSAWS CloudFormationAWS Command Line Interface (CLI)AWS Identity and Access Management (AWS IAM)AWS LambdaAWS QuickSightAmazon AthenaAmazon CloudFrontAmazon CognitoAmazon DynamodbAmazon EC2Amazon QuickSightAmazon Relational Database Service (RDS)Amazon S3

About

I’m a backend developer with 2+ years of experience building scalable web apps, automating cloud deployments and integrating AI features into production. I specialise in Python, Java, Node.js and cloud engineering on AWS and GCP, leveraging Docker and CI/CD for automated deployments — with a passion for backend design, performance optimisation and delivering impactful products — solving real-world problems and turning ideas into high-performance solutions. Currently expanding my skill set by learning Terrafrom, Kubernetes and Rust.

Experience

3 yrs 3 mos

Total Experience

1 yr 7 mos

Average Tenure

2 yrs 1 mo

Current Experience

Koolio.ai

2 roles

Software Engineer

May 2024 – Present · 2 yrs 1 mo · Palo Alto, California, United States · Remote

Led backend development & cloud infrastructure (AWS/GCP) for a production app with 10+ core features.
Implemented Apple SSO & Facebook SSO (besides Google OAuth 2.0) for secure authentication, boosting user sign-ups by 47% (overall).
Architected scalable system design & microservices ensuring high availability, reliability & performance & low latency.
Migrated ML workloads from AWS EC2 –> ECS, cutting infrastructure costs by 40%.
Automated deployments with CI/CD pipelines (GitHub Actions, Docker, Cloud Build) enabling zero-downtime deployments.
Built real-time collaboration features (WebSockets –> Socket.IO) with Redis, scaling from MVP to thousands of concurrent sessions.
Developed LiveKit-based AI Voice Agent system supporting multi-user audio rooms with live transcription & recording, designed for scalable real-time collaboration.
Revamped audio editing features & processing flows, delivering a 66.7% increase in performance efficiency.
Streamlined PostgreSQL & NoSQL (Redis, AWS DynamoDB, GCP Firestore) on AWS/GCP, reducing storage 35% & latency 50%.
Implemented automated RSS feed publishing for podcasts to streamline content distribution.
Resolved 100+ critical backend production issues, improving system stability, security & reducing average incident response time by 50%.

AWSGCPDockerCI/CDPostgreSQLRedis+3

Software Engineer Intern

Apr 2023 – May 2024 · 1 yr 1 mo · Palo Alto, California, United States · Remote

Designed & implemented Stripe subscription system (incl. trials) in production for smooth transactions.
Implemented Google OAuth 2.0 feature, boosting sign-ups by 31%.
Worked extensively with AWS cloud services, designing and managing scalable, reliable infrastructure for backend and data-driven applications.
Developed NLP pipelines in Python using NLTK for text summarization and extraction, enabling automated generation of key business insights.
Integrated and built pipelines to Large Language Models (LLMs) such as ChatGPT, enhancing applications with advanced AI-driven capabilities.
Architected a serverless ML pipeline using AWS Lambda, SQS, ECS (Fargate), and S3 with event triggers, migrating workloads from EC2 to ECS and reducing infrastructure costs by ~50% (eliminating 24/7 EC2 runtime).
Integrated advanced AI/ML services including SpeechBrain (noise reduction), AudioGen (audio generation), MusicGen (music generation), Kandinsky, DALL·E 2, and Stable Diffusion (image generation), enhancing platform capabilities across audio and visual domains.
Deployed multiple web applications with automated CI/CD pipelines using AWS Amplify and AWS S3 + GitHub Actions, optimizing delivery speed.

AWSGoogle OAuth 2.0NLPPythonStripeCI/CD+2

Basel practitioners

Technical Developer Intern

Dec 2022 – May 2023 · 5 mos · Bengaluru, Karnataka, India · Remote

Owned and developed two microservices - Due Diligence service (within a Credit Risk Management Framework) and a Data Forecasting service.
Delivered interactive forecasting dashboards via AWS QuickSight, S3 & Athena for data-driven business insights.
Led the backend team, architected scalable backend microservices on Spring Boot & database schemas with MySQL, ensuring maintainability & efficient data flows.
Optimized database performance, improving query execution & reducing latency by 50%.
Developed frontend features using Next.js, React (Hooks, Axios, Redux), enabling seamless API integrations and enhancing user experience.

AWS QuickSightSpring BootMySQLNext.jsReactBackend Development+1