Ankur Singh

Lead ML Engineer

Bengaluru, Karnataka, India8 yrs experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in Machine Learning and Generative AI technologies.
  • Proficient in cloud computing with extensive AWS experience.
  • Strong background in Data Engineering and Big Data solutions.
Stackforce AI infers this person is a Data Engineering and Machine Learning specialist in the SaaS industry.

Contact

Skills

Core Skills

Machine LearningDevopsData EngineeringBig DataCloud Computing

Other Skills

AI Agents developmentAPI developmentAWSAWS S3Agentic RAG developmentAlgorithmsAndroid DevelopmentApache SparkApache SupersetAthenaAzureBackend API developmentCC++Cascading Style Sheets (CSS)

About

Machine Learning/LLM/GenAI Specialist with hands-on knowledge of domains like GenAI, LLMs, MLOps, LLMOps, MLflow, MCP, Chatbot development, Langchain, LangGraph, AI agents, RAG based ML development, Multi Agents deployment, HuggingFace, fine tuning models using LoRA/PEFT, cloud computing (AWS), Azure, Python, Scala, SQL, NoSQL, CD/CI, GitHub , Jenkins, DevOps, Docker, Kubernetes, ETL using Talend, Databricks, Spark, Hive, data lake, lake house, AWS EMR, Airflow, data streams, backend development Django and Flask, Data Analytics using data science libraries like pandas, seaborn, matplotlib etc.I have vast experience in working with AWS services like S3, Athena, RDS Postgres, Glue, Elasticsearch, Kibana, Lambda, API Gateway, Dynamodb

Experience

Nike

2 roles

SDE-3 (AI/ML)

Promoted

Jan 2025Present · 1 yr 2 mos · Bengaluru, Karnataka, India · Hybrid

  • LLMs, Agentic RAG development, Model deployment using MLflow, AI Agents development using LangGraph and Langchain, Databricks, Devops, Terraform, Jenkins, API development etc.
LLMsAgentic RAG developmentModel deploymentMLflowAI Agents developmentLangGraph+7

Senior Software Engineer - Data Engineering

Jun 2022Dec 2024 · 2 yrs 6 mos · Bengaluru, Karnataka, India · Hybrid

  • Working as Sr Software Engineer - Big Data , Skills :- Databricks, Spark, Hadoop, EMR, Hive, Delta Lake, Lake house implementation, AWS S3, Backend API development using Python, AWS, Container based app deployment - Docker and Kubernetes, GenAI, LLM, Chatbot development.
DatabricksSparkHadoopEMRHiveDelta Lake+12

Ge power

Data Engineer 2

Feb 2021Jun 2022 · 1 yr 4 mos · Bangalore Urban, Karnataka, India

  • Leading ETL and Platform operations in Data Archival domain. • Responsible for architecting, designing and building solution to migrate the existing solution in AWS to Azure. • Responsible for analyzing, comparing the alternative services used in current solution in AWS with Azure. • Planning the migration phase of different applications from AWS cloud to Azure. • Developing ETL jobs for data ingestion in AWS and Azure. • Writing complex ETL jobs to move data from on-prem databases to S3 and creating analytics layer through AWS Athena. • Building solution considering cost, maintenance, scalability in Data Lake environment using cloud native technologies like S3, Athena, RDS, Glue, Postgres etc.
ETLPlatform operationsData ArchivalAWSAzureData Lake+6

Ge digital

2 roles

Data Engineering Specialist

Jul 2018Feb 2021 · 2 yrs 7 mos

  • Working on 1)Cloud Computing Services(AWS) like EC2, S3 ,Athena, SQS, Lambda, Quicksight etc 2)Big Data technologies like Apache Spark ,Hadoop etc. 3)Data analytics using python libraries like Pandas, Numpy, Seaborn, Matplotlib etc.
AWSEC2S3AthenaSQSLambda+7

Intern

Jan 2018Jun 2018 · 5 mos

  • Responsible for writing code in python to automate the process of uploading and querying the data on S3.
  • Technologies/Services Used :- S3, Athena,Apache Superset.
PythonS3AthenaApache Superset

Geeksforgeeks

Intern

Sep 2017Dec 2017 · 3 mos · Bengaluru, Karnataka, India

  • Responsible for writing robust and efficient code on topics related to data structures and algorithms.

Azure skynet solutions pvt. ltd

Intern

Jan 2017Mar 2017 · 2 mos · Bangalore

  • Worked as Android App Developer

Education

CMR Institute Of Technology

Bachelor of Technology — Computer Science

Jan 2014Jan 2018

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