# Akhil K. > Building Stuff at  Location: San Francisco, California, United States Profile: https://flows.cv/akhilk I’m a software engineer with over 8 years of experience designing and delivering large-scale, high-impact systems , now focused on artificial intelligence, machine learning, and data-driven platforms. My passion lies in building intelligent, intuitive, and scalable solutions that bridge the gap between cutting-edge AI research and real-world product impact. Over the years, I’ve evolved from crafting engaging user experiences on the web to architecting end-to-end data and ML systems that power analytics, recommendations, and automation at scale. My technical toolkit spans Python, Java, React, and AWS, with deep hands-on experience in data modeling, distributed processing (Redshift, DynamoDB, SQL, Oracle), and machine learning pipelines. I thrive at the intersection of software engineering, data science, and systems design, leveraging my analytical mindset to solve complex problems with clarity and precision. Currently, I’m expanding my expertise in large-scale AI systems, including topics like LLM integration, model optimization, observability, and data infrastructure for ML. I’m driven by curiosity, collaboration, and the belief that AI can enhance human creativity and decision-making when built responsibly and thoughtfully. Let’s connect — I’m always excited to exchange ideas on scalable AI architectures, MLOps, and intelligent product systems that shape the next generation of technology. ## Work Experience ### Senior Software Engineer @ Apple Jan 2021 – Present | Cupertino, California, United States ### Sr. Software Developer @ Autodesk Jan 2019 – Jan 2021 | San Francisco Bay Area - Engineering UI architectures using the latest software technologies and techniques using JavaScript, TypeScript, Node, and React. - Lead the efforts to migrate front end microservices from Vue.js to React and adopt new technologies like Next.js and React Hooks - Upgrade to new version of Vue.js and Vuex, refactor codes to improve maintainability, and add automated test coverage to ensure functionality is preserved - Promote the adoption of modern technologies, including setting up Webpack bundle with Babel, ESlint, hot module reload, production mode to optimize product performance and improve code quality and dev workflow • Improve hot module reload time by 50% for local development • Reduce Webpack production bundle size by 50% Leading a team of engineers to write, test, and produce great software on multiple frontend projects, as well as screening, interviewing, and training new developers. ### Software Developer - Big Data @ Autodesk Jan 2018 – Jan 2019 | San Francisco Bay Area - Working with Integrating back-end APIs and services feeding data to UI for enterprise level customers. - Working on Developing server-less architecture using mainly AWS GLUE, Chalice and Python. - Working on implementing Continuous Integration & Continuous Deployment (CI/CD) for the entire end to end processing. - Led and helping team to develop and automate the existing data workflows; improved team’s productivity by 50% - Using Highcharts and Javascript for building visualizations and UI for customer token flex reports. - Balanced competitive requirements from different stakeholders on parallel projects; improved team’s velocity. - Collaborated with multiple teams and management to design central data accuracy system; gained SOC 2 compliance - Enhanced business processes by formulating reference manual and technical design documents; achieved tighter deadlines ### Grader and Research Assistant @ Rochester Institute of Technology Jan 2017 – Jan 2018 - Grader for the course of Advance Object oriented programming as well as for Systems Programming course. - The main responsibility was to assist the professor in preparing homework and grading the assignments along with helping students for doubts in the homework. Also worked as a Research Assistant where the main role was to work on a research project using Machine learning algorithm in domain of Convolution Neural network and Deep learning. ### Data science and engineer intern @ Autodesk Jan 2017 – Jan 2017 | San Francisco, California -Worked on architect & develop systems and processes to collect, transform, store and enable analysis of structured and unstructured data and ensure data quality and integrity. - Worked on creating oozie workflow , spark jobs, and then also apply machine learning models to give suggestions and improve the product based on customer feedback collected and analyzed. - Worked with the big data analytics platform team to migrate legacy workflow to Apache Spark and Hadoop based system. My contributions involve developing the data migration solution using Apache Spark , Qubole, Splunk, Apache Oozie, Apache Hive, and AWS. The new pipeline workflow is aimed to tune data ingestion, transport, quality, and fast compute layers. ### Teaching Assistant and Grader @ Rochester Institute of Technology Jan 2017 – Jan 2017 | Rochester, New York Area Working with the faculty to assist in preparing assignment, labs and grading the programs and papers for the course of Artificial Intelligence at Undergrad Level (CS 331) and Graduate Level (CSCI 630) Also Teaching Assistant for Computer Problem Solving: Information Domain II course where I am responsible for assisting professor with homework , quiz preparation and holding tutoring hours for students to help them solve their doubts. ### Teaching Assistant and Grader @ Rochester Institute of Technology Jan 2016 – Jan 2016 Working with the faculty to assist in preparing assignment, labs and grading the programs and papers of Advance Object Oriented Programming course. Also Teaching Assistant for Computer Problem Solving: Information Domain II course where I am responsible for assisting professor with homework , quiz preparation and holding tutoring hours for students to help them solve their doubts. ### Software Engineering Intern @ ACI Worldwide Jan 2016 – Jan 2016 | Fairport , Newyork - Building and testing the pipeline to migrate data from relational data warehouse to big data platform to tackle scalability issues. - Research on building a scalable data warehouse over Big Data, addressing the issues of analytics and user performance. - Also working on unit testing for modules which are already built. ### Website Developer @ Anti-Corruption Bureau Maharastra Police Jan 2014 – Jan 2014 | Worli , India Worked for building the website and mobile application in ASP. NET and HTML5. It is a bi lingual website in English and Marathi. ### Technical Intern @ Tata Consultancy Services Jan 2013 – Jan 2013 | Thane , India Build a hybrid HTML 5 application, wireframes, back-end and middleware component. Also worked on an application project for a top-tier firm like Vodafone and made wireframes for their mobile application ## Education ### Master’s Degree in Computer Science Rochester Institute of Technology Jan 2015 – Jan 2017 ### Bachelor’s Degree in Computer Engineering K. J. Somaiya , Vidyavihar Jan 2011 – Jan 2015 ### Introductory Macroeconomics The London School of Economics and Political Science (LSE) Jan 2013 – Jan 2013 ## Contact & Social - LinkedIn: https://linkedin.com/in/akillawala - Website: http://www.techgyanology.blogspot.com - Website: https://www.enggatkjsce.blogspot.com --- Source: https://flows.cv/akhilk JSON Resume: https://flows.cv/akhilk/resume.json Last updated: 2026-03-20