Chinmay Vivek, Applied AI Research Engineer in Bangalore
Applied AI Research Engineer

Chinmay
Vivek

Building Scalable AI Products for Startups

Generative AI Engineer

View workGet in touch
  • LLM Systems
  • RAG Pipelines
  • AI Agents
  • MLOps
  • FastAPI
  • Kubernetes
IIT JodhpurStartup and fintech AIBangalore, India
Background

About Me

Chinmay Vivek is an Applied AI Research Engineer in Bangalore. He builds scalable AI products for startups: LLM apps, RAG pipelines, and cloud ML backends.

My journey

I am Chinmay Vivek, an Applied AI Research Engineer focused on startup products. My work spans generative AI, LLM applications, retrieval augmented generation (RAG), multi-agent systems, and AI infrastructure, including model tuning, FastAPI services, and Kubernetes-based MLOps on AWS and GCP.

What I do

  • Ship MVPs and full-stack products for early-stage startups
  • Design cloud-native backends in Go, Rust, and Python
  • Integrate LLMs, generative AI, and computer vision into live products
  • Move ML prototypes from proof of concept to production on Kubernetes

Core skills

AI and machine learning82%
System architecture85%
Programming88%
PythonGolangPyTorchFastAPIKubernetesAWS
Portfolio

Featured Projects

Selected AI and ML work by Chinmay Vivek: LLM systems, RAG, fintech machine learning, and cloud-native platforms built with Python, Go, PyTorch, and Kubernetes.

AI-Powered Trading Platform
FinTech AI

AI-Powered Trading Platform

Algorithmic trading platform with machine learning market signals, Python, TensorFlow, FastAPI, and Redis for fintech automation.

PythonTensorFlowFastAPIRedis
ML Risk Assessment System
FinTech

ML Risk Assessment System

Credit scoring and fraud detection ML service built with Rust, scikit-learn, PostgreSQL, and Docker for banking workflows.

Rustscikit-learnPostgreSQLDocker
Enterprise Mobile Suite
Enterprise

Enterprise Mobile Suite

Cross-platform enterprise mobile app for field data capture and analytics using Flutter, Firebase, and GraphQL.

FlutterDartFirebaseGraphQL
Advanced LLM System
AI/ML

Advanced LLM System

Custom LLM training and serving stack with PyTorch, CUDA, and AWS for enterprise NLP and generative AI workloads.

PythonPyTorchCUDAAWS
Cloud-Native ML Platform
Enterprise

Cloud-Native ML Platform

Kubernetes ML platform with Go, MLflow, and Terraform for automated model training, deployment, and monitoring.

GoKubernetesMLflowTerraform
Crypto Trading Bot
FinTech

Crypto Trading Bot

Automated cryptocurrency trading bot in Go with real-time market analysis, PostgreSQL, and Redis.

GoDockerPostgreSQLRedis
Real-time Analytics Dashboard
Enterprise

Real-time Analytics Dashboard

Real-time analytics dashboard in Rust and Next.js with PostgreSQL and Redis for streaming data visualization.

RustDockerPostgreSQLRedisNext.Js
Live Class
Enterprise

Live Class

Open source learning management system (LMS) for live online classes. Go, PostgreSQL, Docker, and HTMX for courses and attendance.

GoDockerPostgreSQLHTMX
View project
Swift School
Enterprise

Swift School

School administration system in Go and PostgreSQL for admissions, academics, fees, and reporting.

GoDockerPostgreSQL
View project
Capabilities

Professional Expertise

Skills of Chinmay Vivek as an AI systems architect: generative AI development, LLM engineering, RAG, AI agents, MLOps, and distributed ML on AWS, GCP, and Kubernetes.

Expert Skills & Technologies

Backend & Systems

GoRustPythonMicroservices

Enterprise Solutions

ERP SystemsFinTech SolutionsPayment SystemsBanking APIsOdoo

Frontend & Mobile

Next.jsFlutterReactHTMX

AI & ML

PyTorchTensorFlowLLMsRAGLangChainLlamaIndexFastAPIMLOps

DevOps & Cloud

Cloud Platforms

AWSGCPLambdaGKECloud Run

Infrastructure & Orchestration

KubernetesDockerTerraformIaC

Architecture Patterns

MicroservicesEvent-Driven Architecture

Enterprise AI and research

Deep learning, LLMs, and knowledge systems

LLM & Model Architecture

PEFTLoRAQLoRATransformers

RAG & Knowledge Processing

Vector StoresSemantic SearchKnowledge Graphs

Agent Architecture

Multi-Agent SystemsLangChainTool Use

Model Operations

Model ServingA/B TestingMonitoring

Generative AI

RAGVector DBAI Agents

MLOps & Deployment

CI/CDKubernetesDocker

Cloud Native

KubernetesDockerGitOps

Distributed Systems

MicroservicesgRPCGraphQL

Core technologies

PythonGolangRustPyTorchTensorFlowDockerKubernetesAWS

Need an AI engineer for LLM or MLOps work? Send a message.

Let's connect
Focus

Research Interests

Applied AI research by Chinmay Vivek: generative AI, LLM application development, RAG, AI agent systems, and production machine learning for fintech and enterprise.

AI and machine learning

15+ projects

Core focus areas

  • Deep learning model design
  • Natural language processing (NLP)
  • Computer vision for production apps
Research impact15+ shipped projects

Generative AI and LLMs

10+ projects

Core focus areas

  • Large language model (LLM) fine-tuning
  • Text-to-image and multimodal pipelines
  • Prompt engineering and evaluation
Industry impact12 enterprise LLM deployments

Enterprise and cloud AI

20+ deployments

Core focus areas

  • Distributed systems on Kubernetes99.9% uptime
  • Multi-cloud AI infrastructureAWS and GCP
  • Microservices for ML APIs1M+ API calls
Business impact50+ client engagements
Career

Professional Experience

Work history of Chinmay Vivek: AI research engineering, fintech platforms, and government ERP systems across Bangalore and remote teams.

2025

Staff Software Engineer (Security R&D)

Kaseya

June 2025 - Oct 2025Bangalore, India (Remote)
  • Engineered and optimized Endpoint Detection and Response (EDR) systems for faster monitoring and clearer security reports.
  • Led a backend engineering team on API design and ML model deployment, improving system reliability and development efficiency.
PythonMicroservicesGolangRustAI/MLLLMLamma

2024

Senior Software Engineer

Wissen Techology

Sept 2024 - May 2025Bangalore, India (Remote)
  • Engineered AI/ML solutions for unstructured data (text, audio, image) using NLP, RAG, and LLMs (LLaMA 2, GPT-3.5, BART) via Hugging Face and OpenAI, ensuring data privacy compliance.
  • Built automated data pipelines from APIs, Confluence, CSVs, and databases, improving QA system accuracy by 20% through cleaning, preprocessing, and machine unlearning.
MicroservicesAI/MLLeadershipGolangRustCVLamma-2RAG

2023

Lead Software Engineer

BlackBuck

Nov 2023 - Feb 2024Bangalore, India (Remote)
  • Led the design and implementation of scalable business solutions and production communication systems.
  • Integrated machine learning models into production using Golang, Rust, and microservices, improving scalability by 30% and reducing latency.
  • Guided backend development, API design, and ML model deployment, improving code review speed and team throughput by 25%.
PaymentsMicroservicesAI/MLFinTechLeadershipLuaGolangRustPyTorch

2023

Senior Software Engineer

Freecharge

May 2023 - Sep 2023Mumbai, India (Remote)
  • Built FinTech product features that improved platform scale and uptime for payment flows.
  • Collaborated with cross-functional teams to optimize backend APIs for machine learning models in recommendation engines and loan risk assessment, improving user engagement and reducing risk evaluation time by 35%.
  • Developed scalable microservices using Golang, Rust, gRPC, and REST APIs, integrating predictive analytics and ML-driven resource scaling, improving response times by 40% under high-load conditions.
PaymentsMicroservicesGolangRustDockerREST APIgRPCCI/CDMachine Learning ModelsPredictive AnalyticsRecommendation Engines

2022

Senior Software Engineer

JustDial

Feb 2022 - May 2023Bangalore, India
  • Led design and development of business solutions and production communication materials
  • Delegated tasks to 7 team members and provided counsel on all project aspects
  • Supervised assessment of software design and development materials for quality and accuracy
Team LeadSystem DesignPythonGolangPHPRustMicroservices

2021

Software Developer

Tattva Foundation

Sep 2021 - Jan 2022Patna (OnSite)
  • Led the Financial ERP build for JiVIKA, a Bihar Government program, using Python, PostgreSQL, XML-RPC, and AWS
  • Delivered Odoo-based modules for accounting, payroll, and reporting used by field teams
  • Ran requirements workshops with government stakeholders and shipped releases on a fixed delivery schedule
PythonWeb DevOdooPHPMicroservicesConsulting

2013

Software Developer

Freelancer

April 2013 - Sept 2021Remote
  • Developed numerous websites and software solutions for schools, hospitals, departmental stores, publications, and advertisements
  • Managed up to 5 projects or tasks simultaneously while under pressure
  • Recommended and consulted with clients on the most appropriate software solutions
Full StackWeb DevConsultingPythonGolangPHPOdooMicroservices
Reach out

Get in Touch

Contact Chinmay Vivek for generative AI consulting, LLM development, RAG implementation, or MLOps work. Based in Bangalore, Karnataka, India.

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