CV
Devansh Agarwal - Senior Machine Learning Engineer at AWS, Cornell Ignite Fellow, and published researcher in AI and HCI.
General Information
Full Name | Devansh Agarwal |
thedevanshagarwal@gmail.com | |
Current Position | Senior Machine Learning Engineer, AWS |
Location | San Jose, CA, 95136 |
Languages | English, Hindi |
Education
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2023 Master's in Computer Science
Cornell University, Ithaca, NY - GPA: 4.08/4.0
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2020 Bachelor of Technology in Computer Science & Engineering
Indian Institute of Technology (IIT) Hyderabad, India - GPA: 9.14/10 (Dept Rank: 1)
- Institute Silver Medal for securing the highest GPA in department
Professional Experience
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2024 - Present Senior Machine Learning Engineer
AWS (Amazon Web Services) - Built AWS Transform, a B2B agentic service that modernizes .NET enterprise applications. Leveraged advanced prompting, fine-tuned LLMs, self-correcting loops, and RAG to transform 50M+ lines of code and modernize thousands of workloads.
- Developed a GNN-based clustering system to analyze and group processes running in customers’ EC2 instances, enabling automated modernization recommendations at scale.
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2023 - 2024 Founder (Cornell Ignite Fellow)
EchoTrack - Built an end-to-end machine learning platform for acoustic image data, including data collection, processing, developing a new foundational model, and real-time inference
- Developed ConvNets, RNNs, and Transformers for recognizing human body poses, speech, facial expressions, and activities using acoustic signals, achieving 90%+ accuracy
- Deployed models on cloud, smartphones and CNN accelerator hardware
- Secured 240,000 dollars in funding from Cornell University and 50,000 dollars from National Science Foundation
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2020 - 2022 Software Engineer II
Amazon - Proposed and developed a machine learning recommendation tool for auto-filling customers' preferred delivery dates, reducing clicks from 5 to 1 for single-click checkout
- Created a widget for Amazon's mobile homepage that serves 1600 transactions per second with 20 ms latency, decreasing customer anxiety for service orders by 2% and saving ~$1 million in support costs
- Migrated notifications platform to AWS, implemented an S3-based request and response tracking framework
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2019 Software Engineer Intern
Amazon - Designed and engineered an invoice generating tool for a new B2B2C Amazon business using DynamoDB, EC2, Angular, HTML, CSS and JS
- This tool helped save around ~40 SDE hours per month
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2018 Software Engineer Intern
SmartVizX - Integral part of the team that developed India's 1st VR platform for the construction Industry, Trezi
- Built the cloud stack and integrated it with the VR app for Trezi, enabling real-time download of textures and models
- Enabled Trezi to create a multi-million-dollar VR marketplace
Teaching Assistant
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2022-2023 Cornell University
- Computer Vision (CS 5670)
- Computer Networks (CS 5456)
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2016-2020 IIT Hyderabad
- Statistics (MA 2140)
- Probability (MA 2110)
- Vector Calculus (MA 1130)
- Data Structures (CS 1353)
Honors and Awards
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2024 - Outstanding Reviewer ACM IMWUT 2024, and ACM UIST 2024
- Best Paper Honorable Mention, EchoGuide (ACM ISWC 2024)
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2023 - Ignite Fellowship, received 240,000 dollars as startup funding from Cornell University
- National Science Foundation I-Corps Award (50,000 dollars)
- Best Paper Honorable Mention, HPSpeech (ACM ISWC 2023)
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2020 - Institute Silver Medal for securing the highest GPA in my department at IIT, Hyderabad
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2019 - Academic excellence award at IIT Hyderabad
Technical Skills
- Machine Learning: AWS SageMaker, Bedrock, PyTorch, PyTorch Lightning, Scikit-Learn, LangGraph, LangChain, Transformers
- Programming Languages: C, C++, C#, Java, Python, JavaScript, TypeScript, Matlab, Swift, PHP, SQL
- SDKs/Environments: Unreal Engine, Unity, Visual Studio, Eclipse, VS Code, ARKit, Google VR, PlatformIO, Arduino
- Cloud Technologies: AWS Lambda, SNS, SQS, ECS, EC2, DynamoDB, S3, Kafka, Git, CI/CD
- Web Technologies: Next.js, Node.js, Angular, React