Vivek Srivastava

Developer & Software Engineer | DevOps, Full Stack Development & AI Integration Expert

Results-driven Developer & Software Engineer with over 10 years of IT experience, including 5+ years working extensively on AWS, with expertise across other major cloud platforms (GCP, Azure) and hands-on experience in AI/ML integration. Skilled in designing, deploying, and fine-tuning custom machine learning models for business-specific applications, leveraging AWS AI/ML services (SageMaker, Rekognition, Lex) and cloud-native architectures. Proficient in full-stack development (React, Django), infrastructure as code (Terraform, CloudFormation, AWS CDK), and serverless technologies (Lambda, DynamoDB, S3).

Experienced in transforming complex business problems into scalable technical solutions, including data pipelines for AI/ML workflows, API-driven integrations, and end-to-end DevOps pipelines for model deployment and monitoring. Known for promoting Agile methodologies and leading cross-functional teams in high-throughput, cloud-native environments.

• Cloud Platforms & AI Services: AWS (Lambda, DynamoDB, S3, Cognito, API Gateway, CloudFormation, EventBridge, SageMaker, Rekognition, Lex), GCP, Azure
• Languages & Frameworks: Python, Node.js, JavaScript, TypeScript, Java, Go, Django, FastAPI, React, Next.js
• AI/ML Tools & Libraries: TensorFlow, PyTorch, Scikit-Learn, SageMaker, MLflow, custom NLP and CV models, Feature Engineering, Model Fine-tuning
• DevOps & CI/CD: GitLab CI/CD, Jenkins, AWS CDK, Docker, Kubernetes (EKS), Terraform, CloudFormation, Helm, Ansible, SAM, Spinnaker
• Data & Databases: SQL, NoSQL, Postgres, Redis, Snowflake, Kafka, ETL, Data Pipelines, Data Warehousing, Data Preprocessing for ML
• Architecture & Design Patterns: SOA, Microservices, Event-Driven Architecture, Domain-Driven Design, REST & GraphQL API Design, Security-focused architecture, Scalability
• Frontend Development: HTML, CSS, JavaScript, TypeScript, Sass, Less, CSS-in-JS (Styled Components, Emotion), Responsive Design, Semantic HTML, Accessibility
• Project Management: Agile, Scrum, Kanban, Jira, Confluence, Stakeholder Management

Data Axle, Pune
February 2021 - Present

• Technical Skills: AWS (Lambda, DynamoDB, S3, API Gateway, SageMaker), Python, Node.js, Docker, Kubernetes (EKS), GitLab CI/CD, Terraform, AWS CDK, SOA, Microservices, REST API, GraphQL
• Architected and deployed cloud-native solutions and AI-driven applications on AWS, reducing infrastructure costs by 20% and enhancing application availability by 30%.
• Integrated custom NLP and computer vision models using SageMaker, enabling automated text classification and image recognition features, reducing manual review time by 50%.
• Built scalable CI/CD pipelines for ML models, enabling continuous integration and monitoring, which led to a 40% reduction in deployment errors.
• Solution Design: Converted business challenges into AI-enhanced solutions, cutting analysis time by 25% and ensuring high accuracy through custom models.
• Leadership: Led a cross-functional team of 10+ engineers and data scientists, achieving a 50% improvement in project delivery, with ML model production deployments completed within two weeks.

Incedo Inc., Pune
September 2017 - January 2021

• Technical Skills: React, Django, Node.js, Docker, Kubernetes, Terraform, Ansible, SOA, Microservices, CI/CD, GitOps, AWS (Lambda, DynamoDB, S3), SageMaker, MLflow
• Developed full-stack applications and integrated ML features, increasing user engagement by 40% with personalized recommendations powered by Scikit-Learn models.
• Implemented microservices architecture with custom NLP models for customer service automation, reducing response times by 60%.
• AI Solution Design: Spearheaded solution design involving custom model integration, reducing operational issues by 35% and improving processing accuracy.
• Leadership: Managed a team of 8 engineers, achieving 100% on-time delivery and fostering a collaborative environment, which improved efficiency by 30%.
• Led on-premise to cloud migration with AI/ML workload migration to AWS, achieving a 45% reduction in infrastructure costs and 60% improvement in deployment speed.

Synechron, Pune
November 2016 - November 2017

• Technical Skills: Python, Django, Data Structures, SOLID Principles, Snowflake, ETL, Redis, SQL, Docker, Kubernetes, CloudWatch, SageMaker
• Engineered scalable web applications and implemented ML-powered insights, increasing data processing efficiency by 25% and reducing response times by 40%.
• Developed ETL pipelines on Snowflake and SageMaker workflows for training and deploying ML models, cutting data processing and model training time by 50%.
• Solution Design: Addressed key performance bottlenecks in ML workflows, reducing latency by 30% and improving model accuracy.
• Leadership: Mentored junior developers on best practices in ML model deployment, resulting in a 15% improvement in code quality and 20% reduction in bug resolution time. Liaised with clients, maintaining a 100% satisfaction rate.

Bachelor of Technology in Information Technology
Punjab Technical University
August 2007 - July 2011

• Cloud Migration & AI Integration: Led a project to migrate on-premises systems to AWS, incorporating AI models for predictive analysis using SageMaker. Achieved a 30% improvement in prediction accuracy and a 45% cost reduction.
• AI-Enhanced Data Pipeline: Architected a high-throughput data pipeline with Kafka, Snowflake, and ETL processes integrated with custom ML models, improving data processing times by 30%.
• Multi-tenant SaaS Platform with AI Features: Designed a microservices-based SaaS application with React frontend and custom NLP models for automated insights, supporting multi-tenancy and robust security.

• Software Design & Best Practices: Advocate of SOLID, DRY, KISS, and YAGNI principles for clean, maintainable, and scalable code.
• AI Model Optimization: Skilled in feature engineering, hyperparameter tuning, and deployment optimization for custom NLP and computer vision models.
• Customer Engagement: Experienced in pre-sales, customer success, and technical workshops, guiding clients through AI/ML use cases and best practices in cloud architecture.
• Leadership: Skilled in leading diverse teams, aligning technical teams with project goals, and fostering a culture of innovation and collaboration.