Achal Vats

+1-716-***-**** ad5ayr@r.postjobfree.com https://www.linkedin.com/in/achal-vats-886189100/ https://achalvats.github.io/ EDUCATION

University at Buffalo, The State University of New York August 2022 – December 2023 Masters of Professional Studies: Data Science and Application GPA: 3.97/4.0 Punjab Technical University, Punjab India August 2013 – July 2017 Bachelor of Technology: Electronic and Communication (Engineering) GPA: 3.33/ 4.0 EXPERIENCE

Software Intern June 2023 - Present

Technical Consulting and Research, Inc. Weston, Connecticut

• Integrated AWS deployment, Auth0, and event-driven architecture (Event Bridge, Lambda, SQS) with AWS RDS log storage.

• Applied SQS, Tableau, for reliability through log tracking for better performance, supported by visual and statistical insights.

• Utilized Pandas library in Python to clean log data, orchestrating data analysis through classifications model, and Anomaly Detection Toolkit leading to identification of the anomalies/outliers in the data. Senior Software Engineer March 2018 - August 2022

Capgemini India

• Developed backend and middle-tier by converting functional requirements to user stories. Built microservices-based REST APIs for multiple applications using Java Spring Boot framework, Python Flask Smorest framework, and Django Rest framework, cutting API response time by 20% through code optimization and efficient caching. Implemented modular microservices, enhancing overall system performance by 15%.

• Spearheaded digital transformation and cost reduction campaigns like Oracle to PostgreSQL migration, bringing down licensing and maintenance costs by 30k euros annually, using tools like AWS SCT and AWS DMS for data integrity.

• Optimized DevOps workflows, deploying services on AWS using Docker, AWS Fargate, Kafka, RabbitMQ, and Kubernetes. Achieved a 40% boost in application scalability, resulting in a 15% cut in AWS infrastructure costs.

• Promoted best CI/CD practices with Ansible, Jenkins, and AWS Cloud Pipeline, automating production deployment for 25+ applications. Realized a 30% faster time-to-deployment through parallelized testing and deployment pipelines. Established a robust CI/CD pipeline, yielding a 20% drop in post-release defects and accelerated feature delivery.

• Streamlined change management process using Git and Jenkins, resulting in enhanced version control, efficient code reviews, and automated deployment pipelines for seamless sprint goals management.

• Enhanced software quality and developer productivity by advocating for Test-Driven Development (TDD) with pytest and unittest, leading to a more reliable codebase and faster iteration cycles.

• Specialized in Linux and Unix development environments, deploying and configuring Nginx servers, and automating tasks and deployments through advanced Bash scripting. This expertise enabled highly efficient server management and streamlined development processes.

• Possessed in-depth knowledge of Networking protocols including HTTPS, HTTP, TCP, UDP, DNS, ARP, along with a thorough understanding of OSI and TCP/IP models, which facilitated the development of network-aware applications with optimized performance and security.

• Excelled in system design principles, focusing on scalability, high availability, Low-Level Design (LLD), and High-Level Design (HLD). This expertise enabled the creation of robust architectures that could efficiently handle growing user bases and data volumes while maintaining high performance and reliability.

PROJECTS

Modernization through Microservices Python, AWS, DevOps, Git, PostgreSQL, Docker, Microservices

• Successfully transformed from a monolithic to a microservices-based architecture, enhancing modularity and scalability.

• Achieved seamless migration from SQL to PostgreSQL, ensuring enhanced performance, scalability, and sustained data integrity.

• Revamped core functionalities in Python for microservices, deployed on AWS Fargate with Docker. Achieved 20% performance boost, 30% faster deployment, and 15% reduced operational overhead.

• Implemented AWS CodePipeline and GitLab for automated build, test, and deployment, resulting in 30% faster deployment time. Conversation AI Chatbot NLP, Python, AWS Lex, Microsoft Bot Framework, AWS RDS, AWS Lambda

• Extraction of data from databases using Conversational UI and NLP, enlarged the efficiency of the assembly line by 17 percent.

• Developed a customized AI chatbot with 94.6 percent accuracy of intent classification using BERT.

• Allows the addition of any new data and new requests, can be evaluated at a later stage by the supervisor or line manager. Transport for London Bus Safety Visualization Tableau Tableau Public Data Viz link

• Conceptualized and Illustrated the TFL safety data to show yearly trends in accidents.

• The Data Viz encapsulated and analyzed the shift in the basics of routes, genders, ages, and victims of the years. CERTIFICATION

• Certified AWS Developer: Associate (DVA-C01).

• Certified Microsoft Azure AZ-900.

TECHNICAL SKILLS

Programming Languages: Python, Java, NodeJS, SQL, TypeScript, JavaScript, MongoDB, Dynamodb, R, PostgreSQL. Web Development: Flask, HTML, CSS, JavaScript, React, Node, Express. Machine Learning and AI: ML, Pandas, TensorFlow, PyTorch, Scikit-learn, Deep Learning, NLP, Data Structures. Tools: Docker, AWS, AWS S3, Kenesis, Jenkins, CI/CD, RabbitMQ, Kafka, Git, Infrastructure as code, Tableau, Jira, RASA, MS Bot Framework, AWS EC2, AWS Lambda, AWS API Gateway, Cloudformation, Terraform, Kubernetes, Ansible, AWS Pipeline, AWS ECS/Fargate, AWS RDS, AWS IAM, DevOps, AWS Sagemaker, Microsoft LUIS, Azure Cloud Functions, SpringBoot, Django, Flask.

Contact this candidate