Aakaash Jois

Experience

1. 

   Microsoft · Full-time

   • Applied Scientist II

     Jun 2022 - Present · 3 yrs 3 mos·San Francisco Bay Area · Hybrid·Current

     As an Applied Scientist, I lead the design and deployment of large-scale machine learning systems that power ad quality and content compliance at Microsoft. My work spans multimodal modeling, MLOps, and ML infrastructure, with an emphasis on scalability, reliability, and system simplification. - Architected and deployed models across image, text, and video to improve content classification, brand safety, and rejection prediction. - Modernized legacy systems by migrating pipelines to Azure ML and building scalable inference infrastructure. - Led cross-team efforts to improve audit systems, integrate lightweight models (SLMs), and reduce manual review overhead. - Collaborated across product, infra, and modeling teams to deprecate older stacks and standardize new ML workflows. - Trusted to own critical systems end-to-end—known for technical depth, mentorship, and platform leadership. Skills: Applied Machine Learning · Machine Learning · Deep Learning · Microsoft Azure Machine Learning · MLOps · Continuous Integration and Continuous Delivery (CI/CD) · PostgreSQL · Kubernetes · Grafana · Incident Management · Cross-team Collaboration · Technical Documentation · Onboarding · Large Language Model Operations (LLMOps) · Large Language Models (LLM) · Fine Tuning

2. 

   Xandr · Full-time

   • Software Engineer II - Machine Learning

     May 2021 - Jun 2022 · 1 yr 2 mos·New York, New York, United States · Hybrid

     At Xandr, I built production-ready ML systems to automate and enhance creative ad audits. My work focused on end-to-end ML deployment, data engineering, and model generalization at scale. - Developed transformer-based systems to analyze creatives across image, video, and text. - Built large-scale pipelines to train models on stratified, multimodal datasets. - Integrated embedding stores to support real-time similarity search and zero-shot classification. - Unified fragmented ML workflows into a more maintainable, task-agnostic architecture. - Collaborated with infrastructure teams to deploy and scale ML systems using Azure ML and Kubernetes. Skills: Microsoft Azure Machine Learning · Python (Programming Language) · Deep Learning · Machine Learning · Java · Software Development · REST APIs · Transformer Models · Multimodal · Apache Spark · Kubernetes · Applied Machine Learning

3. 

   Kalepa · Full-time

   • Machine Learning Engineer

     Jul 2019 - May 2021 · 1 yr 11 mos·New York City Metropolitan Area · Hybrid

     As one of the founding ML engineers at Kalepa, I had the opportunity to shape the core technology stack and build machine learning systems from the ground up. I worked across data ingestion, modeling, explainability, and deployment, helping scale ML capabilities in a fast-moving insurtech environment. - Led technology selection for ML systems, helping establish architectural patterns still in use today. - Built scalable pipelines to ingest and normalize diverse data (social media, news, regulatory filings). - Developed NLP models for extracting policy information, and explainable AI models for underwriter decision support. - Delivered computer vision pipelines for risk detection. - Deployed models on AWS SageMaker and Google Cloud, integrating with real-time risk assessment workflows. - Tackled imbalanced/noisy datasets and engineered solutions for robust training and inference. Skills: Python (Programming Language) · Scikit-Learn · Data Science · MLOps · Jupyter · Machine Learning · Regression Models · Data Pipelines · Google Cloud Platform (GCP) · Amazon Web Services (AWS) · Applied Machine Learning · Applied Technology · Early-Stage Startups

4. 

   NYU Tandon School of Engineering

   • Graduate Teaching Assistant for Big Data

     Feb 2019 - May 2019 · 4 mos·New York City Metropolitan Area

     - Provided guidance to students toward class lectures, assignments, and projects - Collaborate with the professor on creation and grading of assignments and exams

5. 

   6 mos

   • Deep Learning Research Volunteer

     Sep 2018 - Nov 2018 · 3 mos

     - Created a Hierarchical CNN model to classify fashion items in images - Performed data engineering techniques to obtain optimal classification result from the Hierarchical CNN model

   • Deep Learning Research Intern

     Jun 2018 - Aug 2018 · 3 mos

     - Experienced in developing Region-based CNN models for fashion item identification in images - Successfully improved accuracy of previous models by 30% through modifications - Implemented Pose Estimation model to accurately identify human structural poses in images - Developed a testing script to enhance inferencing speed of models by 20% - Created a fallback method to identify fashion apparel in cases of CNN model failure Skills: Python (Programming Language) · Data Science · Deep Learning · PyTorch · TensorFlow · Machine Learning · Convolutional Neural Networks (CNN)

6. 

   Udacity

   • Mentor & Code Reviewer

     Jun 2016 - Aug 2017 · 1 yr 3 mos·Bengaluru Area, India

     - Provided detailed analysis and actionable feedback for over 4500 projects of students to improve the code and meet standards - Guided and supported students towards completion of Nanodegree in Data Science and Android Development field

7. I

   ISRO Satellite Centre

   • Project Intern

     Jan 2016 - Apr 2016 · 4 mos·Bengaluru, Karnataka, India

     - Implemented computer vision algorithms on the Chandrayaan-2 project with Controls Division and Electronics Group team - The algorithm helps the lunar rover identify the distance of objects seen by its stereoscopic camera

Education

1. 
   NYU Tandon School of EngineeringMaster of Science - MS, Electrical Engineering2017 - 2019
2. 
   BNM Institute Of TechnologyBachelor of Engineering - BE, Electronics and Communications Engineering2012 - 2016
3. S
   Sri Kumarans Children's Home Composite Pre-University CollegePre University, Electronics2010 - 2012
4. L
   Little Flower Public SchoolHigh School2007 - 2010
5. A
   Auden Public SchoolPrimary School2000 - 2007

Skills

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