Harsh  ·  Lead ML / GenAI Engineer  ·  10+ yrs

Principal
10+ years experienceremote
Available within 48 hrs

Proof of scale

30,000+ locations optimized
30,000+ locations optimized

About Harsh

Harsh is a Machine Learning Engineer with 10+ years of experience specializing in AI and GenAI solutions. He has a proven track record of leading end-to-end ML project lifecycles and deploying models on cloud platforms.

10+ years of commercial experience in

AI / ML PlatformEdTechHealthTechLogistics & Supply Chain

Skills(63)

PythonPyTorchDockerKubernetesAWSAzureDatabricksDjangoOpenAILanggraphAzure RAGAWS EC2SparkWhoosh IndexingAzure DevOpsText VectorizationFuzzy-Wuzzy MatchingNLPMySQLECSGenetic AlgorithmReinforcement LearningOptimization TechniquesLLMsGemini ProClickHouseOpenCVCNNAngularIonicCRF basedLSTMARIMABERTBiLSTMSVMDecision TreeRandom ForestXGBoostScikit-learnText SummarizationUnsupervised LearningAzure DatabricksPySparkSQLETLBI DashboardMachine LearningMLFlowClassificationRegressionAWS ECRAWS AppSyncGraphQLAWS AmplifyAWS LambdaAWS SagemakerAWS S3Deep LearningAWS NeptuneAWS CI/CD PipelineAWS DynamoDBAWS GraphQL

Why hire Harsh?

Production deploy authorityMentored 5+ juniorsLed end-to-end ML project lifecycles

Led AI engineering for complex query answering solutions using Langgraph.

Engineered and deployed ML models utilizing Docker and Kubernetes.

Applied advanced optimization techniques for logistics problems across 30,000+ locations.

Successfully finetuned RAG approaches with LLMs for enhanced document search.

Developed and deployed an AI-based agent solution for complex query answering.

Designed an efficient BI Dashboard for cloud-based kitchen data analysis.

Project highlights(20)

AI-Based Agent Solution – AI Engineer

Overview: Developed an AI-based agent solution to answer multiple-composite queries using Langgraph, generating concise summaries and invoking other functions. Responsibilities: Led AI engineering, design, and finetuning of the OpenAI platform.

PythonOpenAILanggraph

Key outcomes:

  • Successfully developed an agent-based approach for complex query answering.

Medical Diagnosis AI System – AI Engineer

Overview: Developed an AI solution, CharacAI, to help end-users get probable diseases and solutions based on diagnosis, leveraging LLMs to find context-related articles and texts for medical practitioners. Responsibilities: Focused on AI engineering, design, and development of a RAG pipeline using Azure RAG.

PythonOpenAIAzure RAG

Key outcomes:

  • Developed a POC for a medical diagnosis AI system.

E-commerce Platform for Used Books – Developer

Overview: Developed a platform to provide used engineering books at affordable rates. Responsibilities: Managed end-to-end design, development, and deployment. Utilized AWS EC2, Spark for analysis, and Docker for deployment.

AWS EC2SparkDocker

Key outcomes:

  • Developed and deployed an e-commerce platform for used books.

Cluster similar company name, Text Vectorization(NLP) – Team Lead, Solution Architect

Cluster similar company names — 3 million similar company name clustering with limited resources using Whoosh Indexing + Kubernetes + Azure DevOps + Text Vectorization as Team Lead + Solution Architect.

PythonWhoosh IndexingKubernetesAzure DevOpsText VectorizationFuzzy-Wuzzy MatchingNLP

Key outcomes:

  • Successfully clustered 3 million company names with optimized resource usage.

  • Led the development and deployment of the solution.

Yard Management System – Solution Architect, Team Lead

Yard Management System — optimal container placement in 30,000+ locations minimizing shuffling/retrieval costs with Genetic Algorithm + ECS as Solution Architect + Team Lead.

PythonMySQLDockerECSGenetic AlgorithmReinforcement LearningOptimization Techniques

Key outcomes:

  • Successfully optimized container placement in over 30,000 locations.

  • Reduced shuffling and retrieval costs using advanced optimization algorithms.

Industry experience

AI / ML Platform

10 projects
  • •AI-Based Agent Solution— AI EngineerPython · OpenAI · Langgraph
  • •Medical Diagnosis AI System— AI EngineerPython · OpenAI · Azure RAG
  • •Cluster similar company name, Text Vectorization(NLP)— Team Lead, Solution ArchitectPython · Whoosh Indexing · Kubernetes · Azure DevOps +3
  • •Yard Management System— Solution Architect, Team LeadPython · MySQL · Docker · ECS +3
  • •Natural Language to SQL— AI EngineerPython · OpenAI · LLMs · Gemini Pro +1
  • •Generate Text from the Industrial Rules— AI EngineerPython · LLMs · CRF based · Django
  • •POS tagging with NLP— AI EngineerPython · BERT · LSTM · BiLSTM +2
  • •Code-mix language identification using different machine learning models— AI EngineerPython · SVM · Decision Tree · Random Forest +3
  • •Cloud Based kitchen— Senior Level AnalystAzure Databricks · PySpark · SQL · ETL +2
  • •Project— DeveloperAWS CI/CD Pipeline · AWS Amplify · AWS S3 · AWS DynamoDB +1

EdTech

10 projects
  • •Medical Diagnosis AI System— AI EngineerPython · OpenAI · Azure RAG
  • •Yard Management System— Solution Architect, Team LeadPython · MySQL · Docker · ECS +3
  • •Natural Language to SQL— AI EngineerPython · OpenAI · LLMs · Gemini Pro +1
  • •Generate Text from the Industrial Rules— AI EngineerPython · LLMs · CRF based · Django
  • •Code-mix language identification using different machine learning models— AI EngineerPython · SVM · Decision Tree · Random Forest +3
  • •Generate summary using Formality of language— AI EngineerPython · Text Summarization · Unsupervised Learning
  • •Cloud Based kitchen— Senior Level AnalystAzure Databricks · PySpark · SQL · ETL +2
  • •Project— DeveloperAWS EC2 · AWS ECR · AWS AppSync · GraphQL +3
  • •Prajval Softwares (Vanvagdo)— DeveloperAWS EC2 · AWS Sagemaker · AWS S3 · Deep Learning
  • •Project— DeveloperDeep Learning · OpenCV · Django · MySQL

HealthTech

2 projects
  • •Medical Diagnosis AI System— AI EngineerPython · OpenAI · Azure RAG
  • •Insurance Client— Senior Level AnalystAzure Databricks · PySpark · SQL · MLFlow +2

Logistics & Supply Chain

1 project
  • •Bookrent India— DeveloperAWS EC2 · Spark · Docker

Ready to work with Harsh?

Schedule an interview and onboard within 48 hours. No long hiring cycles.

At a Glance

Experience10+ years
Work moderemote
Starting from₹2.2 L/mo
Direct hirePossible
Start within48 hours
From₹2.2 L/ month

Single contract. No agency markup confusion.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman
Seniority signals
Owns production deploysGreenfield architectSystem ownerCode reviewerMentor / leads juniors
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

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Harsh

ML Ops Engineer