Sajal Kaushik

Software Engineer

Bellevue, Washington, United States4 yrs 8 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Designed large-scale Fault Policy framework at Microsoft.
  • Developed AI-driven tools at OneMain Financial.
  • Achieved industry-leading results in computer vision models.
Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI/ML and scalable systems.

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Skills

Core Skills

Software EngineeringInfrastructureAi/mlReinforcement LearningDeep LearningMachine LearningComputer Vision

Other Skills

.netAlgorithmsArtificial Intelligence (AI)Azure KustoC#C++CassandraData AnalysisData PreparationData ScienceData StructuresDatabasesDeep Reinforcement LearningGenAIGeographic Information Systems (GIS)

About

I am a Software Engineer with a strong background in backend systems, distributed datacenters, and applied AI/ML. With an M.S. in Computer Science from NC State (GPA 3.86), I’ve had the opportunity to deliver impactful solutions across fintech, big tech, and startups, consistently focusing on scalability, efficiency, and customer value. At Microsoft, I designed and implemented a large-scale Fault Policy framework powered by LLM automation, reducing manual intervention by 7% and improving uptime by 5%. Before that, at OneMain Financial, I developed in-house tools that directly contributed to a 10% increase in the customer base while also optimizing cloud-based ETL workflows for marketing services. My internship at Meta gave me hands-on experience with reinforcement learning in telecom simulations, integrating spatio-temporal models to reduce power costs and improve network efficiency. Earlier in my career, I worked in AI/ML-focused roles where I designed end-to-end deep learning pipelines and built state-of-the-art computer vision models like U-Net and DeepLabV3, achieving industry-leading results in semantic segmentation. These experiences have strengthened both my technical depth and my ability to collaborate closely with business stakeholders to deliver meaningful results. My technical toolkit includes C#, .NET, Python, Go, C++, Node.js, TypeScript/React, Spring Boot, SQL, MongoDB, Redis, AWS, Kubernetes, Spark, and Hadoop. I thrive in high-ownership, fast-paced environments where engineering excellence and customer impact are top priorities, and I’m passionate about building systems that solve complex problems at scale.

Experience

4 yrs 8 mos
Total Experience
9 mos
Average Tenure
--
Current Experience

Microsoft

Software Engineer

Nov 2023Jul 2025 · 1 yr 8 mos · Bellevue, Washington, United States · On-site

  • I led the design and deployment of a large-scale Fault Policy Framework across globally distributed datacenters, transforming how hardware acceptance and incident management were handled at hyperscale.
  • I engineered fault prioritization logic and automated incident routing, which drastically reduced system noise, minimized manual intervention, and enabled faster, more targeted resolutions for critical failures. By standardizing fault signatures, refining ticketing workflows, and implementing structured retry policies, I helped achieve a 5% improvement in operational efficiency and reduced downtime across millions of production servers.
  • This work not only improved reliability in hardware onboarding and acceptance but also set new standards for observability, resilience, and efficiency in datacenter operations at scale.
Azure KustoC#.netObject Oriented DesignInfrastructureSoftware Development Life Cycle (SDLC)+7

Onemain financial

Software Engineer

Jun 2023Nov 2023 · 5 mos · Charlotte, North Carolina, United States · Hybrid

  • Building in-house tooling for brand management, customer acquisition, retention and marketing for a new credit card line targeted at the near-prime market with AI based recommendations.
  • Optimization of cloud-based workflows and developing infrastructure for marketing services.
Software DesignPython (Programming Language)Node.jsMongoDBCassandraRelational Databases+7

Meta

Software Engineer Intern

May 2022Aug 2022 · 3 mos · Seattle, Washington, United States

  • Integrated spatio-temporal network traffic load model into Cellular Energy Savings RL environment, that was built in OpenAI gym, in order to increase the realism of the environment by 2% and produce realistic savings opportunities across space and time for the simulations.
  • Implemented multiple reinforcement learning(RL) algorithms, and showed relative pros and cons, to solve the above OpenAI gym formulation, enhanced with traffic load, in order to demonstrate significant OPEX(power cost) savings, and implicit positive environmental impacts for, telecom networks, in simulations.
Data SciencePython (Programming Language)Software TestingGeographic Information Systems (GIS)SQLArtificial Intelligence (AI)+12

Stealth startup

Software Developer

Aug 2020Jul 2021 · 11 mos · Delhi, India

  • Redesigned models built on customer datasets,the changes in the model resulted in the performance increase of 10%.
  • Improved predictive accuracy of the models by at least 2% in python to preprocess data efficiently from web.
Artificial Intelligence (AI)tensorflowDeep LearningSoftware DevelopmentSoftware Development Life Cycle (SDLC)machine learning+2

Digital infosolution

Software Developer

Aug 2019Aug 2020 · 1 yr · Delhi, India

  • Analyzed customer data to ensure proper performance of deployed devices to develop machine learning models with the performance of predicting the disease with over 93%.
  • Build and Optimized pipeline workflows from preprocessing to testing in deep learning on the customer datasets to achieve an average accuracy increase of 4% using python, tensorflow and sklearn.
  • Optimized various deep learning models using various preprocessing and modeling techniques which increased the required positive evaluation metric of the dataset by at least 5%.

Tata consultancy services

Software Development Intern

Jun 2018Jul 2018 · 1 mo · New Delhi Area, India

  • Build an AI Music Generartor using state of the art deep learning techniques.
C++Python (Programming Language)Deep LearningLong Short-term Memory (LSTM)Software DevelopmentObject-Oriented Programming (OOP)+2

Defence research and development organisation (drdo)

Software Engineer Intern

Jun 2018Jul 2018 · 1 mo · New Delhi Area, India

  • Worked on implementing and optimizing clustering cross validation algorithms on Various datasets.
Machine LearningDeep LearningUnsupervised LearningSoftware DevelopmentpythonAI/ML

Indian institute of technology, delhi

Software Developer

Jan 2018Jun 2018 · 5 mos · New Delhi Area, India

  • Worked on Implementing object tracking Algorithms like Goturn and Mdp on imagenet and alov300++.
Computer VisionDeep LearningAlgorithmsData PreparationOpenCV

Education

North Carolina State University

Master of Science - MS — Computer Science

Aug 2021May 2023

Bharati Vidyapeeth's College of Engineering

Bachelor of Technology - BTech — Computer Science and Engineering

Aug 2015Jun 2019

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