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Exp : 20+ Years
$65 / hr
Prakash
AI Engineer
Accomplished technology leader with 20+ years of experience delivering digital services & cloud solutions for Fortune 500 clients. Expert in technologies like Generative AI, IoT, and machine learning, with a strong track record of leading cross-functional teams.
Key Skills
- Java
- NodeJS
- Python
- Go
- React
- AWS
- OpenAI
- Azure
- MLOps
- Docker
Prakash
Technical Architect
Exp : 20+ Years
$65 / hr
Educational Qualification:
- MBA – Case Western Reserve, Cleveland, OH, USA
- Masters in Engineering – BITS Pilani, India
- Bachelors in Engineering – BITS Pilani, India
Technical Skills
Programming Languages: Java, Python, NodeJS, Go, React
Cloud Technologies: AWS (Lambda, Fargate, API Gateway, Sagemaker, EKS, S3, DynamoDB, Redshift, IAM, CodePipeline), Azure (Functions, IOT Central, AI Studio, App Service, AKS)
Machine Learning: AWS Sagemaker, Azure ML, AutoML, MLOps
Containers & Orchestration: Docker, Helm, Kubernetes (K8s), Portainer, Rancher
Event-Driven Architecture: AWS SNS, SQS, Event Store, CQRS
AI Tools: OpenAI (ChatGPT-4, LangChain, Semantic Kernel)
DevOps: Terraform, CI/CD pipelines, AWS CodePipeline, Azure DevOps
Database Technologies: DynamoDB, Redshift, Aurora, Elasticache, Oracle
Security: Zero Trust Security, AWS WAF, RBAC, Entra
Expertise
Cloud-Native Development: Extensive experience in cloud migration, serverless architectures, and microservices using AWS and Azure.
Machine Learning & AI: Led AI/ML practices, delivering SaaS solutions with advanced ML models, MLOps pipelines, and cloud-based analytics.
Event-Driven Systems: Architected and implemented event-driven architectures using CQRS, Fanout patterns, and event sourcing for high performance.
Automation & Infrastructure: Spearheaded automation initiatives with Terraform, introduced CI/CD pipelines, and optimized infrastructure costs by up to 80%.
Cross-Functional Leadership: Managed global teams across the USA, UK, Germany, India, South Korea, and more, ensuring project success through collaboration and strategic planning.
Cost Optimization: Delivered projects with significant cost savings through architectural re-design, cloud-native services, and efficient resource allocation.
Work Experience:
Principal Architect (2023 – Present):
- Led AI/ML practice on AWS and Azure; delivered SaaS MVP in 3 months.
- Architected predictive maintenance SaaS using Azure IoT Central, AI Studio, and microservices on Kubernetes.
- Implemented Zero Trust security and monitored resilience with AWS Resilience Hub.
Principal Architect (2021 – 2023):
- Led product development for warehouse automation systems, improving performance by 50%.
- Re-architected systems to serverless event-driven architecture, reducing infrastructure costs by 80%.
- Integrated cloud-native services (SNS, SQS, Redshift) to reduce technical debt and enhance analytics.
Director Technology (2020 – 2021):
- Led AWS cloud operations and implemented CI/CD pipelines, reducing time-to-market by 50%.
- Migrated SaaS product to serverless architecture, cutting TCO by 40%.
Software Manager (2017 – 2020):
- Achieved 40% cost savings by integrating multi-cloud systems with event-driven architecture.
- Developed microservices-based products using Python, NodeJS, Java, and React.
Solutions Architect (2013 – 2017):
- Architected and developed NodeJS, Python, and SpringBoot microservices for large-scale web platforms.
Various Leadership & Development Roles (1999 – 2013):
- Developed software modules in telecom, finance, and government sectors, leading teams to deliver enterprise-grade solutions using Java, Spring, and Python.
Exp : 6 Years
$30 / hr
Sarath S
AI Engineer
Key Skills
- Python
- Machine learning
- Computer vision
- NLP
- LLMs
- Langchain
- React
- MongoDB
Sarath S
Machine Learning Engineer
Exp : 6 Years
$30 / hr
Key Skills
- Python
- Machine Learning
- Computer vision
- NLP
- LLMs
- Langchain
- React
- MongoDB
- Flask
- NoSǪL
- AWS
Additional Skills
- Cloud Computing
- CI/CD
- MLOPs
- MLFlow
- Sagemaker
- Lambda
- Glue
- Git
- Docker
- Microservices
- Distributed Systems
- Blockchain
Detailed Experience
- Expertise in Azure MLOps, Computer Vision, and Data Science.
- Automated onboarding verification processes using OCR and entity identification.
- Extracted handwritten data from children’s progress cards using OCR.
- Developed forecasting and churn models for price optimization. Worked on Computer Vision projects, utilizing dlib, OpenCV, Keras, and TensorFlow.
- Implemented CNNs, U-Nets, and transformers for Computer Vision.
- Developed custom text detection and recognition models for OCR.
- Deployed solutions on AWS EC2 and automated deployment using Python boto3.
- Worked on AI and Blockchain projects, including Blockchain token purchase forecast, retention analysis, digital marketing effectiveness analysis, and optimization.
- Developed NLP-based chatbots using Spacy and NLTK.
- Explored RNN and LSTM models.
- Gained experience in Distributed AI and Ethereum Dapps in the Blockchain domain.
- Contributed to IOT product development with integrated intelligence.
Exp : 4+ Years
$25 / hr
Sherine J
AI Engineer
Key Skills
- Machine Learning
- Data Analytics
- Deep learning
- Computer vision
- Python
Sherine J
Machine Learning Engineer
Exp : 4+ Years
$25 / hr
Key Skills
- Machine Learning
- Data Analytics
- Deep learning
- Computer vision
- Python
- Keras
- Tensorflow
- Numpy
- Pandas
Additional Skills
- C++
- AI
- Data Visualization
- Project Management
- Data Mining
- Statistical modeling
Detailed Experience
- Proficient in Machine Learning, Deep Learning, Data Analytics, and Computer Vision with hands-on experience in Python, Keras, TensorFlow, NumPy, Pandas, and basic knowledge of C++.
- Skilled in manipulating and analyzing diverse, high-volume datasets from various sources, applying Machine Learning Algorithms, and developing innovative data processing methods.
- Expertise in deep learning technologies for creating AI software, including chatbot automation and the development of prototypes and analytic models to solve client challenges.
- Accomplished in project management, from scoping and estimation to planning, technical/functional specification finalization, resource management, and quality assurance.
- Collaborated closely with interdisciplinary teams (research, software, hardware, and infrastructure) to deliver reliable robotic applications.
- Proficient in the implementation of Statistical/Predictive Models and Machine Learning Algorithms, utilizing diverse data sources and the latest data visualization tools.
- Development, and implementation of statistical techniques, algorithms, and Deep Learning/ML Models to create scalable solutions for resolving various business challenges.
- Developed an intelligent system using deep learning models to uniquely identify bovine muzzle patterns, achieving a remarkable increase in input image quality from 60% to 97%.
Exp : 4+ Years
$25 / hr
Atul A
AI Engineer
Key Skills
- Machine Learning
- NLP
- ML Ops
- Deep Learning
- Data Analysis
- Tableau
Atul A
Machine Learning Engineer
Exp : 4+ Years
$25 / hr
Key Skills
- Machine Learning
- NLP
- ML Ops
- Deep Learning
- Data Analysis
- Tableau
- Computer Vision
- Python
- PyCaret
- BERT
Additional Skills
- ELK Stack
- Linux
- Docker
- Kubernetes
- Flask
- Fast API
- KServe
- AWS
- Data Structure & Algo
- Postman
- DataDog
- GIT
- MySQL
- EdgeDB
- Gunicorn
- C/C++
Detailed Experience
- Scaling and optimizing existing model deployment architecture, including churning monolith services into micro-services for scalability.
- Deployment of predictive models using machine learning algorithms for data-driven decision-making.
- Collaborating with multi-disciplinary product development teams to identify performance improvement opportunities and integrate trained models.
- Design, implementation, and evaluation of new models and rapid software prototypes for problem-solving in machine learning and systems engineering.
- Implementation of AI-specific modules for the Askify.Video project, including question-answer models, asynchronous server deployment, and voice assistant design.
- Development of multiple facial recognition systems using MXNet and MTCNN.
- Design and implementation of the cloud architecture for ENEROP on GCP, focusing on data pipeline development and backend server handling for the Enterprise Automation System.
- Optimization of existing scripts and designing ML-based architectures for IIOT data automation.
- Design for cloud architecture on GCP for data ingestion, storage, and analysis, including ETL and exploratory data analysis (EDA) for temperature and humidity data.
- Development of a Human-Computer Interaction CHATBOT as part of the MOTOR DRIVER’s Assistance System.