Summary
Overview
Work History
Education
Skills
Websites
Certification
Languages
Skillstechnologies
Timeline
Generic

Neelabh Prajapati

McKinney,TX

Summary

Proven AI & ML Architect with a track record of deploying scalable machine learning models and automating data pipelines at Persistent System. Demonstrates expertise in TensorFlow and collaborative project management, enhancing team efficiency by 30%. Excels in integrating AI solutions with cross-functional teams, showcasing strong technical acumen and leadership skills.

Overview

17
17
years of professional experience
1
1
Certification

Work History

AI & ML Architect

Persistent System
Austin, United States
08.2024 - Current
  • Developed and deployed machine learning models on GCP, optimizing performance and scalability
  • Automated data pipelines using BigQuery and Dataiku, reducing manual intervention and increasing efficiency
  • Implemented CI/CD pipelines with Bamboo, ensuring rapid and reliable deployment of machine learning models
  • Managed project tasks and timelines using Jira, improving project visibility and team coordination
  • Proficient in developing and training machine learning models using frameworks like TensorFlow, PyTorch, and scikit-learn
  • Experienced in implementing NLP techniques for text generation, sentiment analysis, and language translation
  • Deep Learning: Skilled in designing and training deep neural networks for tasks such as image generation, speech synthesis, and text-to-image models
  • Expertise in working with generative models like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformers
  • Collaborated with cross-functional teams to integrate AI solutions into existing systems, ensuring seamless deployment and scalability
  • Proficient in developing and training machine learning models using frameworks like TensorFlow, PyTorch, Spacy and scikit-learn

Researcher / AI & ML Lead engineer

PwC
Dallas, United States
04.2022 - 06.2024
  • Influenced and contributed to operating the entire Azure and GCP platform using modern technologies such as Gradio, Azure MLOps, FAST API, Apache Beam, Apache Airflow, BigQuery, Pub/Sub, Event Architecture, ETL processes etc
  • Directed innovation hub initiatives focused on AI/ML, including Proof of Concept (POC) implementation and presentation to leadership, using TensorFlow, PyTorch, Keras etc
  • Configured MLOPS using Dataiku
  • Orchestrated on Architecture quick product development on Power Platform using PowerBI, PowerApp, Power Automate, Power Virtual Agent and integrating LLM model in Chat bot
  • Acquired Proficient in popular deep learning Python frameworks such as TensorFlow, PyTorch, or Keras, enabling the implementation of complex neural models
  • Developed and implemented tailored GenAI project on neural network architectures for complex information using RAG (retrieval Augmented Generation), and recommendation systems
  • Carried out a detailed analysis of various cost factors in AI/ML implementations, Gen AI development including Lifecycle, Operational, Inference, and Development Costs, ensuring budgetary compliance and cost-effectiveness
  • Acquired proficiency backend services using Python, C# APIs, Node.js/Express, Graph-ql, Docker (docker-compose), and Python
  • Directed offshore teams, maintain story dashboards, ensure code quality, and provide mentoring and coordination
  • Implementation RAG (Retrieval Augmented Generation) Architecture by creating Knowledge base and integrating with LLM
  • Work with back-end databases such as Azure PostgreSQL, Azure CosmosDB, Data Bricks, and Azure Blob Store
  • Collaborated with researchers and data scientists to design and implement novel machine learning algorithms using the Azure Open AI platform
  • Developed custom machine learning models using the Azure Open AI platform for natural language processing
  • Experience in Azure cloud, AWS and GCP could for application hosting and machine learning
  • Built a sentiment analysis model using GenAI's machine learning capabilities to analyze customer feedback for a major retail brand
  • Built a text summarization model using GenAI's NLP capabilities to summarize news articles for a survey within organization
  • Experienced in working with airflow, a platform used for orchestrating complex data workflows and scheduling tasks
  • Extensive experience working with Terraform, for automating the provisioning and management of cloud resources
  • Used Snowflake in managing and analyzing large volumes of data efficiently in a cloud environment
  • Developed and deployed AI models using Langchain's model serving and inference capabilities
  • Familiarity with Llama Index, a library for efficient indexing and querying of large language models
  • Proficient in utilizing Cypher graphQL database query language for extracting and manipulating complex interconnected data structures

AI/ML Lead Engineer

National Recovery Agency(NRA)
Harrisburg, United States
11.2021 - 04.2022
  • Create and maintain RESTful APIs, including migrating existing legacy APIs to smart contracts
  • Used services Azure ML ops, Jupyter Notebook, azure data bricks Experience with frameworks pytorch or TensorFlow Serving for deploying models
  • Develop backend services using C#, APIs, Node.js/Express, GraphQL, Docker (docker-compose), and Python
  • Experience in cleaning, transforming, and preparing data for model training
  • Implement AWS Batch scheduler jobs
  • Design and build new smart contracts, interface with blockchain, and integrate with financial Orchestratedner APIs using Git, Azure DevOps, and Docker
  • Created database design and automating and maintaining ETL processes

Lead Engineer

Humana(Client)
Louisville, United States
09.2019 - 11.2021
  • Company Overview: Koncenture Group
  • Led the design and implementation of the ML Architecture using Azur MLOps systems
  • Experience on deep learning architectures, neural networks, and relevant subfields like NLP or computer vision
  • Initiated the development of robust AI/ML applications using Jupyter Notebook, azure data bricks and FastAPI
  • Experience with frameworks pytorch or TensorFlow Serving for deploying models
  • Develop backend services using Java, Python, C# APIs, Node.js/Express, GraphQL, Docker (docker-compose), and Python
  • Experience in cleaning, transforming, preparing data, database design and automating and maintaining ETL processes
  • Interface with blockchain and financial Orchestratedner APIs using Git, Azure, and Docker
  • Work with Linux, Windows Unix, PFC Cloud, and Azure Clouds
  • Design and develop proprietary Ether installment payment products, including integration with blockchains, exchanges, and wallets
  • Leverage Node.js for development
  • Koncenture Group

AI/ML Lead Engineer

Progressive(Client)
Cleveland, United States
02.2019 - 08.2019
  • Company Overview: OptimeTech
  • Orchestrated with interdisciplinary teams to incorporate machine learning algorithms such as Decision Trees, Random Forest, Logistic Regression, and KNN into applications, boosting their capabilities and user experience
  • Acquired proficiency in AI and machine learning, employing advanced methods to tackle challenging issues and enhance application efficiency, utilizing tools like Python, Azure Cloud, and SQL Server databases
  • Create Splunk dashboards and perform logging and events management
  • Implement OpenAPI (Swagger) for RESTful API creation
  • Migrate existing legacy APIs to smart contracts
  • Interface with blockchain and financial Orchestratedner APIs using GitHub and Azure MLOps
  • Leverage cryptography, including asymmetric (public/private key), symmetric, and hash functions
  • Design and develop proprietary Ether installment payment products, including integration with blockchains, exchanges, and wallets
  • OptimeTech

Lead Engineer

Tenet(client)
Plano, United States
08.2010 - 01.2019
  • Company Overview: NTT DATA Services
  • Collaborated in cross-functional teams to integrate machine learning models into applications, enhancing functionality and user experience using various algorithm Decision Tree, Random Forest, Logistic Regression, KNN etc
  • Stayed abreast of the latest advancements in AI and machine learning, applying cutting-edge techniques to solve complex problems and improve application performance using Python, azure clouds, SQL server database etc
  • Carried out rigorous testing and validation of machine learning models to ensure accuracy and reliability in real-world applications
  • Documented and presented model development and deployment process on azure cloud environment and results to technical and non-technical stakeholders, ensuring transparency, and understanding of machine learning initiatives
  • Performed designing, creating, implementing, and maintaining dashboards using Splunk
  • Created data visualization and Reports
  • Used Search Processing Language (SPL), Structured Query Language (SQL) and related search languages
  • Creating ETL process using Python and MongoDB
  • Developed Application layer using angular, bootstrap, JavaScript and CSS
  • Proficient in .NET technologies such as C#, ASP.NET, WPF, and SQL Server
  • Directed the back-end connection to SQL server as the data source using SQL queries, stored procedures and triggers to manage data
  • Web page GUI designed with ASP.Net, MVC and JavaScript
  • Crafted Business Logic Layer, Data Access Layer using C# and .Net4.0 and Web Services
  • NTT DATA Services

Software Engineer

Infotech
Delhi, India
05.2008 - 08.2010
  • Development, maintenance, and support during the product design using: ASP.Net 4.0, MVC, WCF, LINQ, XML Web Services
  • Developing and maintaining web applications using ASP.Net, MVC, WCF, and LINQ
  • Utilizing ADO.Net for data retrieval and SQL Server for database management
  • Designing and deploying application
  • Collaborating with team members to ensure successful product designs and deployments

Education

Master of Computer Applications (MCA) - Computer Science

Mahatma Gandhi Kashi Vidyapith
01.2008

Bachelor’s Degree - Maths and Physics

Govt. Post Graduate Degree College, Obra, Sonebhadra
U.P
01.2005

Skills

  • Gradio
  • Azure Databricks
  • Azure ML studio
  • Jupyter Notebook
  • Hadoop
  • Anylogic
  • Spark
  • Hugging Face
  • Kaggle
  • Flask
  • Azure OpenAI
  • Azure Cognitive Services
  • Langchain
  • Llama Index
  • LLM security frameworks Lakhera
  • Terraform
  • Snowflake
  • Transformer
  • TensorFlow
  • PyTorch
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • Scikit
  • NLTK
  • Keras
  • Anaconda
  • Falcon
  • QLoRA
  • LoRA
  • BERT
  • GPT
  • LLMA
  • Claude
  • Linear & Polynomial Regression
  • Decision Tree
  • Random Forest
  • Logistic Regression
  • K-Nearest Neighbors (K-NN)
  • K-Mean Clustering
  • Hierarchical Clustering
  • Python
  • R
  • NodeJS
  • JavaScript
  • TypeScript
  • C#
  • Solidity
  • PowerShell
  • Shell scripts
  • Web3js
  • Restful API Service
  • GraphQL
  • Swagger
  • SOAP UI
  • Postman
  • Net Framework
  • ADONET
  • Dataiku
  • AZURE Cloud
  • AWS
  • GCP
  • Azure Postgres
  • Kubernetes
  • Azure DevOps
  • PCF Cloud
  • BigQuery
  • Azure Blob Store
  • Azure APP service
  • Azure container Registry
  • Single spa
  • Angular
  • Reactjs
  • PowerBI
  • PowerApp
  • Power Virtual Agent
  • SQL Server
  • Postgres
  • Azure Cosmos DB
  • Data Bricks
  • Cypher
  • GraphQL
  • Datadog
  • Splunk
  • Dynatrace
  • Apache Airflow
  • Grafana
  • Prometheus
  • Jenkins
  • JFrog
  • Terraform Cryptography
  • Encryption
  • Decryption
  • GitHub
  • Vagrant
  • Service Now
  • Microsoft Teams
  • Virtual Box
  • Docker
  • Linux

Certification

  • Certified Artificial Intelligence (AI) Developer
  • Certified Blockchain Architect
  • MICROSOFT SHAREPOINT 2010, CONFIGURING (70-667)
  • MICROSOFT SHAREPOINT 2010, APPLICATION DEVELOPMENT (70-573)
  • Splunk Core Certified User

Languages

  • Hindi
  • English

Skillstechnologies

Gradio, Azure Databricks, Azure ML studio, Jupyter Notebook, Hadoop, Anylogic, Spark, Hugging Face, Kaggle, Flask, Azure OpenAI, Azure Cognitive Services, Langchain, Llama Index, LLM security frameworks Lakhera, Terraform, Snowflake, Transformer, TensorFlow, PyTorch, NumPy, Pandas, Matplotlib, Seaborn, Scikit, NLTK, Keras, Anaconda, Falcon, QLoRA, LoRA, BERT, GPT, LLMA, Claude, Linear & Polynomial Regression, Decision Tree, Random Forest, Logistic Regression, K-Nearest Neighbors (K-NN), K-Mean Clustering, Hierarchical Clustering, Python, R, NodeJS, JavaScript, TypeScript, C#, Solidity, NodeJS, PowerShell, Shell scripts, Solidity, Web3js, Restful API Service, GraphQL, Swagger, SOAP UI, Postman, .Net Framework, C#, ADO.NET, Dataiku, AZURE Cloud, AWS, GCP, Azure Postgres, Kubernetes, Azure DevOps, PCF Cloud, BigQuery, Azure Cloud, Azure Blob Store, Azure APP service, Azure container Registry, Single SPA, Angular, ReactJS, PowerBI, PowerApp, Power Virtual Agent, SQL Server, Postgres, Azure Cosmos DB, Data Bricks, Cypher GraphQL, Datadog, Splunk, Dynatrace, Apache Airflow, Grafana, Prometheus, Jenkins, JFrog, Terraform, Cryptography, Encryption, Decryption, GitHub, Vagrant, Service Now, Microsoft Teams, Virtual Box, Docker, Linux

Timeline

AI & ML Architect

Persistent System
08.2024 - Current

Researcher / AI & ML Lead engineer

PwC
04.2022 - 06.2024

AI/ML Lead Engineer

National Recovery Agency(NRA)
11.2021 - 04.2022

Lead Engineer

Humana(Client)
09.2019 - 11.2021

AI/ML Lead Engineer

Progressive(Client)
02.2019 - 08.2019

Lead Engineer

Tenet(client)
08.2010 - 01.2019

Software Engineer

Infotech
05.2008 - 08.2010

Master of Computer Applications (MCA) - Computer Science

Mahatma Gandhi Kashi Vidyapith

Bachelor’s Degree - Maths and Physics

Govt. Post Graduate Degree College, Obra, Sonebhadra

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Neelabh Prajapati