Ritesh Dhapate

Senior Software Engineer

Pune, Maharashtra, India4 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in designing and scaling microservices.
Proven track record in AI and ML integration.
Strong leadership in delivering impactful solutions.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in SaaS and AI-driven solutions.

Contact

rieshdhapatepatil@gmail.com LinkedIn

Skills

Core Skills

Machine LearningGenerative AiCloud ArchitectureFull-stack DevelopmentBackend Development

Other Skills

LangChainScikit-LearnWeb DesignKafkaRedisAWSECSLambdaAPI GatewaynodejsMERN StackReact.jsJSON Web Token (JWT)Amazon Route 53AI Integration

About

Result‑oriented Senior Backend Software Engineer with 4 years of experience designing, developing, and scaling microservices and GenAI platforms using Node.js (Express.js), Python (FastAPI), Golang (Gin), gRPC, PostgreSQL, MongoDB, Kubernetes, and AWS. Proven track record of owning end‑to‑end delivery of high‑availability, low‑latency backend systems, integrating ML/GenAI (RAG, recommendations, classification), and leading teams to deliver secure, reliable, and business‑impactful solutions in production.

Experience

4 yrs

Total Experience

1 yr 4 mos

Average Tenure

1 yr 5 mos

Current Experience

Dynasas (dynasoft applied systems)

2 roles

Senior Software Engineer

Promoted

Feb 2026 – Present · 4 mos · Pune, Maharashtra, India · On-site

Software Engineer

Jan 2025 – Feb 2026 · 1 yr 1 mo · Pune, Maharashtra, India · On-site

LangChainScikit-LearnMachine LearningGenerative AI

Lumio ai

Full-stack Developer and Cloud Architect

Nov 2023 – Dec 2024 · 1 yr 1 mo · Mumbai, Maharashtra, India · On-site

Developed advanced ML (Machine Learning) and GenAI (Generative AI) features, including RAG (RetrievalAugmented Generation) with vector embeddings, boosting intelligent search and automation efficiency by 70%.
Engineered AI-driven workflows using LangChain and LangGraph, integrating Kafka and Redis for real-time data streaming and caching, reducing response latency by 95%.
Designed and implemented cloud-native architectures on AWS (Amazon Web Services), leveraging ECS (Elastic Container Service), Lambda, and API Gateway to deliver highly available, scalable, and secure AI and ML (Machine Learning) microservices.
Mentored junior engineers, promoted best practices, and fostered a collaborative, high-performance team culture to ensure successful project delivery.

Generative AIWeb DesignMachine LearningCloud Architecture

Apna college

Full stack web development

Oct 2022 – Mar 2023 · 5 mos

Created a chat application integrated with AI assistant, enhancing user engagement by 30%.
Implemented new features and functionalities, leading to a 20% rise in user satisfaction.
Real time data exchanging with 0.3ms time delay.

JSON Web Token (JWT)Amazon Route 53

Kaspertech

Full Stack Developer

May 2022 – Nov 2023 · 1 yr 6 mos · Rajasthan, India · Hybrid

Developed and maintained responsive, user-friendly frontend interfaces using React.js, Redux, HTML5, CSS3, and Tailwind CSS, improving user engagement and cross-device compatibility by 40%.
Engineered robust backend services and RESTful APIs with Node.js and Express.js, ensuring seamless integration with frontend components and optimizing data flow.
Integrated real-time features using Socket.io and Kafka, enabling event-driven architectures that supported high-throughput messaging and data streaming.
Collaborated closely with UI/UX designers, product managers, and QA teams to deliver end-to-end solutions aligned with business goals and user needs.
Architected and delivered 12+ high-impact full-stack applications using MERN stack (MongoDB, Express.js , React.js, Node.js), driving a 40% increase in user engagement through seamless UI/UX and performant backend services.

nodejsMERN StackFull-Stack DevelopmentBackend Development