# Indrajit Rajtilak > Machine Learning Engineer @ Meta Location: San Francisco, California, United States Profile: https://flows.cv/indrajit With over 10 years in consumer software, I've honed skills in applied machine learning, web development, cloud computing, and product management. My passion lies in creating technology that genuinely impacts lives for the better. If you're committed to making a difference with tech, let's connect. ## Work Experience ### Software Engineer, Machine Learning @ Meta Jan 2022 – Present | Menlo Park, California, United States In my current role at the WhatsApp Integrity organization, I develop machine learning systems for detection and enforcement to prevent the spread of financial scams on WhatsApp. Previously, I was part of the Ads Integrity team, where I worked on building machine learning systems to detect and prevent foreign interference, voter suppression, and misinformation on the Meta platform. ### Machine Learning Engineer, Perception @ Embark Trucks Jan 2021 – Jan 2022 | San Francisco Bay Area Embark is an Autonomous Vehicle startup focused on bringing self-driving trucks to market. I work on the Deep Learning sub-team of the Perception organization. I focus on training neural networks for perception and building data pipelines and python APIs for MLOps. - Trained a deep neural network for lidar semantic segmentation using Tensorflow. - Built data pipelines for extraction, storage, and indexing labeled data and Python APIs for querying and curation of datasets using Python, Kubernetes, SQL, and ROS. ### Lead Product Manager, ML Platform @ Springboard Jan 2018 – Jan 2021 | San Francisco Bay Area Springboard is a career-focused online bootcamp in Data Science and Design. I led the Product team of 3 PMs, 2 specialists, and one analyst, and report to the VP of Product. Product leadership - Led the quarterly planning and roadmapping process for Product at Springboard. - Established and evangelized processes for quarterly planning, continuous intake, and prioritization. - Drove alignment on cross-function priorities with the general managers, operations and engineering team leads. Data Platform workstream - Developed and executed the Springboard Data Platform strategy. Instrumented over 325 user events using Segment, RabbitMQ, Celery, Google Big Query and ChartIO. - Prototyped a job matching model using Keras and TensorFlow to reduce job match-time from 4 days to 24 hours. - I worked on a random forest model to identify the top 3 predictors of student churn, improving retention by 15%. Outcomes workstream - Developed and executed the Springboard Outcomes strategy. Built a Job Search Workflow product to increase weekly job search compliance from 25% to 80% in 6-months. - Built and launched an event-based intervention platform to deliver notifications to increase user activation from 35% to 75%. ### Lead Software Engineer @ Springboard Jan 2017 – Jan 2018 | Bangalore I was the first backend engineer at Springboard. I led a team of 12 engineers and served as interim CTO for 6 months. - Modernized deployment systems using Docker, Kubernetes, and Google Cloud Platform, saving $50K annually. - Led the migration from AWS to GCP; removed 3 single-points of failure, set up the continuous deployment pipeline, achieved 25% faster build times, improved scalability, and better controls for rollbacks. - Built a GraphQL API layer which resulted in 2x faster performance, and speeding up development time. Winner at Walmart Labs HackFest 2015. Two-time winner of HackerEarth Django Hackathon in 2015 & 2016. ### Senior Backend Developer @ Springboard Jan 2015 – Jan 2017 | Bangalore Architected foundational pieces of the Springboard Learning Management System such as: - Curriculum Management System - Calendaring & call scheduling - Student <> Mentor matching algorithm ### Senior Software Engineer @ Global Analytics India Pvt Ltd. Jan 2014 – Jan 2015 - Integral part of the team that developed and launched a crucial Daily Interest and a Variable Interest Rate loan product. - Experience in working on 2 major product releases that were essential to the company's growth strategy. ### Intern - Secure Development Lifecycle @ Aujas Networks Pvt Ltd Jan 2013 – Jan 2013 | Bangalore - Helped develop a Security Analytics and Visualization Platform using Palo - A Multidimensional Online Analytic Processing tool and a model User Interface for representing the data using Charts. ### Intern - Secure Development Lifecycle @ Aujas Networks Pvt Ltd Jan 2012 – Jan 2012 | Bangalore - Developed an Android Security Framework using an Advanced Security SD Card, by incorporating the SEEK project with Android Open Source Project. - Helped develop an Android Application for on-the-fly decryption and streaming of media. - Performed VAPT on Android Applications. ## Education ### Online Master's in Machine Learning (in progress; expected to graduate in 2025) in Machine Learning and Robotics Georgia Institute of Technology Jan 2021 – Jan 2025 ### Product Management Studio in Product Management University of California, Berkeley, Haas School of Business Jan 2020 ### Machine Learning Engineering Nanodegre in Machine Learning Udacity Jan 2017 – Jan 2018 ### Data Science Intensive in Data Science Springboard Jan 2016 ### Bachelor's Degree in Computer Science SRM IST Chennai Jan 2010 – Jan 2014 ## Contact & Social - LinkedIn: https://linkedin.com/in/rtindru - GitHub: http://www.github.com/rtindru --- Source: https://flows.cv/indrajit JSON Resume: https://flows.cv/indrajit/resume.json Last updated: 2026-03-23