Hrishikesh D.

Full Stack Engineer

Mumbai, Maharashtra, India4 yrs 5 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in building scalable AI infrastructure.
Proven track record in conversational AI systems.
Strong leadership in high-velocity startup environments.

Stackforce AI infers this person is a Backend-focused AI Infrastructure Engineer with expertise in SaaS solutions.

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Skills

Core Skills

Back-end Web DevelopmentCloud-native MicroservicesAi InfrastructureConversational AiApi DevelopmentTeam LeadershipProject Management

Other Skills

Agile DevelopmentAmazon Web Services (AWS)Artificial Intelligence (AI)Azure AI ServicesAzure Kubernetes Service (AKS)C++CI/CDContinuous Integration and Continuous Delivery (CI/CD)Cross-functional Team LeadershipData StructuresEngineeringFastAPIFront-end CodingLarge Language Model Operations (LLMOps)MERN Stack

About

Built scalable AI infrastructure and platform components for enterprise environments. Design and deploy systems that integrate multiple AI providers, handle high-volume request processing, and maintain consistent performance under load.Architect conversation orchestration workflows, implement cloud-native microservices on Kubernetes, and establish observability pipelines for production systems. Work spans initial system design through deployment and operational support.Technical focus: Python (FastAPI, Flask, Django) • Azure, AWS • Kubernetes, Terraform • Redis, Cosmos DB • Multi-provider LLM integration • Distributed systems architectureCurrently developing AI governance and discovery platforms. Previously built conversational AI systems and API gateway infrastructure processing large-scale request volumes with consistent sub-20ms latency.Experience across high-velocity startup environments and enterprise-scale deployments.

Experience

Fractal

Full Stack Engineer

May 2024 – Present · 1 yr 10 mos · Mumbai · Hybrid

Design and deploy scalable AI infrastructure solutions for large-scale enterprise environments. Specialize in building high-performance API gateways and cloud-native microservices that integrate multiple AI providers while maintaining sub-20ms response latencies at millions of daily requests.
Lead end-to-end platform ownership from architecture through production support, leveraging Azure Kubernetes Service, automated CI/CD pipelines, and comprehensive observability frameworks to ensure 99.99% reliability in mission-critical environments.
Currently developing centralized AI governance and discovery platforms that enable enterprise organizations to accelerate AI adoption while maintaining compliance and control across their operations.

Back-End Web DevelopmentFastAPIAzure Kubernetes Service (AKS)Continuous Integration and Continuous Delivery (CI/CD)ObservabilityCloud-Native Microservices

Stealth mode ai startup

Software Develoment Engineer

May 2023 – May 2024 · 1 yr · Mumbai · On-site

Developed end-to-end conversational AI systems integrating Azure AI Services and OpenAI APIs, delivering context-aware, multi-turn dialogue capabilities with intelligent intent recognition and dynamic response generation at scale.
Architected dialogue orchestration workflows maintaining conversation continuity across sessions while ensuring seamless user experiences. Deployed solutions on AWS infrastructure with scalable REST API design for optimal performance and reliability.
Operated in high-velocity startup environment with complete feature ownership from concept to production.

Back-End Web DevelopmentData StructuresAzure AI ServicesOpenAI APIsConversational AIAPI Development

Varal consultancy dmcc

2 roles

Sr. Team Member - Ops Team

Oct 2021 – Nov 2022 · 1 yr 1 mo · Dubai, United Arab Emirates · Remote

Lead a team of engineers, providing guidance and support to drive project success.
Utilized strong problem-solving skills to identify and resolve software defects, ensuring the delivery of bug-free applications.
Collaborated with cross-functional teams to gather requirements, design system components, and implement robust solutions.
Participated in Agile development processes, including sprint planning, daily stand-ups, and retrospective meetings.

Back-End Web DevelopmentPython (Programming Language)Agile DevelopmentTeam LeadershipProject Management