Nitish Kumar — CTO

Seasoned Backend & AI Engineer (8+ years) specializing in architecting LLM-powered, distributed, and high-performance systems. I combine deep backend engineering with modern Generative AI to design scalable, reliable, and intelligent production platforms. I build and optimize agentic, retrieval-augmented AI systems that power real-world enterprise workflows. 🔹 AI Engineering, Agentic Systems & LLM Optimization • Architecting AI Agents and multi-agent systems using LangChain & LangGraph • Implementing reflection-based agents, self-correcting loops & evaluator agents • HuggingFace Transformers, LoRA/QLoRA(Low-Rank Adaptation), SFT(Supervised Fine-Tuning) • RLHF, reward modeling, hallucination reduction, prompt evaluation • LLM inference optimization: KV-cache tuning, batching, quantization (GGUF/AWQ) • FlashAttention2 for accelerated attention & high-throughput inference • LLM Observability, Hallucination Detection, Drift Monitoring • Dataset generation, synthetic data, prompt versioning & LLMOps workflows 🔹 Agentic RAG, Vector Search & Autonomous Reasoning • Architecting end-to-end RAG systems with embeddings & vector databases • Hybrid retrieval (BM25 + Vector), reranking & context optimization • Building memory-driven agents with episodic, long-term & tool-augmented recall • Creating autonomous workflows for diagnostics, RCA, data cleanup & decision flows • Experience with FAISS, Pinecone, Elastic Vector Search 🔹 Backend Engineering, Distributed Systems & Cloud • Distributed systems, event-driven design, multi-tenant architecture • Kafka-based pipelines, Redis caching, scalable microservices • High-performance APIs using Python/FastAPI & Node.js • Cloud-native engineering across AWS, GCP, Docker, Kubernetes • Designing low-latency, fault-tolerant, globally distributed systems 🏆 Key Achievements • 90%+ latency reduction via distributed pipeline redesign & caching • Scaled multi-tenant platforms to 1M+ MAUs & 200K+ monthly orders • Architected production-grade AI agents achieving 60%+ automation impact • Delivered advanced Agentic RAG/Agentic AI systems for reasoning & workflow automation • Achieved 50% cloud cost reduction through serverless & infra optimization • Led and mentored backend + AI teams, driving system design & LLM architecture excellence ⚙️ Tech Stack AI/LLM: LangChain, LangGraph, Bedrock, HuggingFace, LoRA/QLoRA, RAG, Agents, VectorDBs, Observability Backend: Python, FastAPI, Node.js, TypeScript, Java, Kafka, Redis, PostgreSQL, Elasticsearch Infra: Docker, Kubernetes, AWS, GCP, CI/CD, Observability

Stackforce AI infers this person is a Backend and AI Engineer specializing in E-commerce and EdTech solutions.

Location: Bengaluru, Karnataka, India

Experience: 9 yrs 3 mos

Skills

Ai Engineering
Backend Engineering
Cloud Engineering
Full Stack Development
E-commerce Development
Edtech Development
Embedded Systems Development

Career Highlights

90% latency reduction through distributed pipeline redesign.
Scaled platforms to over 1M monthly active users.
Achieved 50% cloud cost reduction via optimization.

Work Experience

GameChange

Engineering Leadership | Ecommerce | Fin-Tech (3 yrs 10 mos)

Giftiicon

Engineering Leadership | E-commerce (1 yr 2 mos)

Full Stack Engineer (1 yr 2 mos)

Quikr

Senior Software Engineer | Ecommerce (5 mos)

Vagupu, Inc.

Core Engineer | EdTech (1 yr 3 mos)

ZigaLabs

Co-Founder | EdTech (11 mos)

HARMAN International

Software Engineer (6 mos)

Education

Bachelor of Technology - BTech at National Institute of Technology Calicut

Master of Science - MS at Woolf

High School at Mithila Public School - India

Nitish Kumar

CTO

Bengaluru, Karnataka, India9 yrs 3 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

90% latency reduction through distributed pipeline redesign.
Scaled platforms to over 1M monthly active users.
Achieved 50% cloud cost reduction via optimization.

Stackforce AI infers this person is a Backend and AI Engineer specializing in E-commerce and EdTech solutions.

Contact

Skills

Core Skills

Ai EngineeringBackend EngineeringCloud EngineeringFull Stack DevelopmentE-commerce DevelopmentEdtech DevelopmentEmbedded Systems Development

Other Skills

AI AgentsAWSAWS LambdaAgentic AIAgentsAgile MethodologiesAlgorithmsAmazon BedrockAmazon DynamodbAmazon EKSAmazon Web Services (AWS)AngularAngular 2AngularJSApache Kafka

About

Experience

9 yrs 3 mos

Total Experience

1 yr 6 mos

Average Tenure

3 yrs 10 mos

Current Experience

Gamechange

Engineering Leadership | Ecommerce | Fin-Tech

Aug 2022 – Present · 3 yrs 10 mos · Dubai, United Arab Emirates · Remote

As Engineering Lead, I architect and scale AI-powered microservices, LLM-integrated backend systems, and multi-tenant commerce platforms serving global users. I combine Generative AI, RAG, Agentic workflows, and distributed backend design to deliver low-latency, scalable, and production-ready systems.
I build LLM pipelines, RAG workflows, and agentic AI systems using Python, FastAPI, LangChain, LangGraph, and Amazon Bedrock. This includes embedding services, vector search layers (FAISS, Milvus, Pinecone), memory architectures, tool-calling agents, and prompt engineering frameworks. I optimize inference through KV-cache tuning, batching, quantization (AWQ/GGUF), FlashAttention2, ONNX Runtime, TensorRT, and vLLM to ensure high throughput and reliability.
I lead backend architecture across microservices and multi-tenant platforms using Kafka, Redis, PostgreSQL, Elasticsearch, DynamoDB, Docker, Kubernetes, Terraform, AWS, and GCP. I design replay-safe Kafka pipelines, distributed caching layers, scalable APIs, and globally deployed systems supporting multi-currency, multilingual environments.
I define engineering standards for LLMOps, including dataset generation, evaluation pipelines, hallucination and drift detection, model observability, prompt versioning, and automated rollbacks. I mentor a team of 5–7 engineers, driving architecture decisions, performance optimization, and AI-driven innovation.
Key Achievements:
Reduced system latency by 90% via distributed pipeline redesign & Redis caching.
Integrated agentic AI workflows, reducing manual operations by 60%.
Delivered production-grade RAG systems enabling context-aware reasoning.
Scaled platform to 1M+ MAUs, 200K+ monthly orders, 5K+ merchants.
Tech Stack: Python, FastAPI, LangChain, LangGraph, Bedrock, HuggingFace, QLoRA, RAG, Agents, VectorDBs, Kafka, Redis, PostgreSQL, Elasticsearch, Docker, Kubernetes, AWS, GCP.

PythonFastAPILangChainLangGraphBedrockHuggingFace+14

Giftiicon

2 roles

Engineering Leadership | E-commerce

Apr 2021 – Jun 2022 · 1 yr 2 mos · On-site

Promoted from Full-Stack Engineer to Engineering Manager in recognition of strong technical leadership and delivery excellence. Spearheaded the design, development, and optimization of microservices-based, serverless, and cloud-native systems, ensuring scalability, resilience, and seamless user experience across Giftiicon’s e-commerce platform.
As an Engineering Lead at Giftiicon, I architected and maintained microservices-based systems, ensuring scalability and resilience. I leveraged a robust technology stack to deliver high-performance, cloud-optimized solutions while streamlining infrastructure management. My focus was on ensuring seamless integration across distributed environments and optimizing resource utilization.
Achievements: I successfully reduced cloud expenditure by 50% through architectural optimization and resource utilization tuning.

Node.jsLeadershipServerless ComputingReact NativeSpring BootKubernetes+24

Full Stack Engineer

Feb 2020 – Apr 2021 · 1 yr 2 mos · On-site

Leveraged a modern technology stack including Python, Java, Node.js, React.js, MySQL, MongoDB, DynamoDB, Redis, AWS (Lambda, EC2, S3, CloudFront, SNS, SQS), and Docker to deliver high-performance, end-to-end features — from RESTful APIs to responsive front-end applications.
Key Contributions & Achievements:
Architected and deployed serverless microservices on AWS Lambda, improving scalability and reducing infrastructure overhead.
Led a cross-functional full-stack team through the complete SDLC — from requirement analysis and architecture to development, testing, and deployment.
Implemented event-driven integrations using SQS/SNS for asynchronous processing and improved data throughput.
Enhanced CI/CD pipelines to accelerate deployment frequency and minimize downtime across distributed environments.
Reduced cloud expenditure by 50% through architectural optimization, resource utilization tuning, and serverless adoption.
Collaborated closely with product and DevOps teams to ensure high system availability, performance, and security across multi-region deployments.

Node.jsSpring BootKubernetesEvent-Driven ArchitectureGo (Programming Language)Distributed Systems+19

Quikr

Senior Software Engineer | Ecommerce

Sep 2019 – Feb 2020 · 5 mos · Bengaluru, Karnataka, India · On-site

Engineered and deployed full-stack solutions using Java, Node.js, ReactJS,
MySQL, and MongoDB.
Developed admin dashboards for shipping and fulfillment.
Streamlined marketing workflow.
Utilized Java, Node.js, ReactJS, MySQL, and MongoDB.
Achievements:
Optimized campaign management.
Improved efficiency of shipping operations.

Node.jsRedisSpring BootKubernetesEvent-Driven ArchitectureDistributed Systems+17

Vagupu, inc.

Core Engineer | EdTech

Feb 2018 – May 2019 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

As a Core Engineer at Vagupu, I played a pivotal role in designing, developing, and maintaining full-stack application components for the company’s interactive EdTech platform. I contributed to end-to-end product engineering — from backend API development and database design to frontend architecture and performance optimization — ensuring seamless learning experiences for users and educators.
Key Responsibilities & Contributions:
Architected and developed RESTful APIs using Node.js and Express.js, enabling secure, low-latency data exchange between services.
Designed and implemented dynamic front-end interfaces using AngularJS, ensuring responsive and intuitive user experiences.
Optimized database schemas and query performance in PostgreSQL, improving response times and reducing system load.
Leveraged Redis caching to enhance real-time data access and minimize latency across high-traffic modules.
Contributed to modular codebase restructuring for better scalability and maintainability.
Collaborated closely with UI/UX designers and product teams to translate business requirements into scalable, maintainable technical solutions.
Integrated authentication, session management, and user analytics to improve engagement and data-driven insights.
Participated in code reviews, unit testing, and CI/CD pipeline setup, ensuring reliability and production stability.
Tech Stack: Node.js, Express.js, AngularJS, PostgreSQL, Redis, HTML5, CSS3, JavaScript (ES6+), REST APIs, Git

Node.jsExpress.jsAngularJSPostgreSQLRedisHTML5+6

Zigalabs

Co-Founder | EdTech

Mar 2017 – Feb 2018 · 11 mos · Bengaluru, Karnataka, India · On-site

As a Co-Founder and Full Stack Engineer, I played a hands-on role in architecting, developing, and deploying scalable web applications using modern full-stack technologies. I was responsible for end-to-end product development — from backend architecture and API design to responsive front-end implementation and cloud deployment — ensuring seamless performance, scalability, and user experience.
Key Responsibilities & Contributions:
Designed and developed RESTful APIs using Node.js and Express.js, enabling efficient data flow between services and clients.
Built and maintained Angular 2 front-end applications with modular components and optimized UI performance.
Deployed and managed serverless backends using Google Cloud Functions, improving scalability and reducing infrastructure complexity.
Designed relational data models and wrote optimized queries in MySQL for reliable data access and storage.
Integrated Firebase Authentication, Firestore, and Cloud Messaging for secure login, real-time updates, and event notifications.
Collaborated on end-to-end product lifecycle — from MVP design to feature expansion — ensuring fast iterations and stable releases.
Implemented continuous deployment and monitoring practices for rapid feature rollout and reduced downtime.
Tech Stack: Node.js, Express.js, Angular 2, Google Cloud Functions, MySQL, Firebase (Auth, Firestore, Cloud Messaging), HTML, CSS, JavaScript

Node.jsExpress.jsAngular 2Google Cloud FunctionsMySQLFirebase (Auth, Firestore, Cloud Messaging)+5

Harman international

Software Engineer

Sep 2016 – Mar 2017 · 6 mos · Bengaluru, Karnataka, India · On-site

Worked as a Software Engineer focused on C++ development for embedded systems and UI components. Contributed to feature implementation, debugging, and performance improvements for in-vehicle infotainment platforms. Gained hands-on experience with Qt framework for UI building and cross-platform application development. This role provided a strong foundation in object-oriented programming, software lifecycle practices, and collaborative development in an agile environment.

Data StructuresObject-Oriented Programming (OOP)CPPEmbedded Systems Development