# Harsha Kanaka Eswar

> Software Engineer @Ambient.ai  | Ex-Aira Technologies | MS CS UMass Amherst | Ex-Samsung R&D | IIT Madras Alum

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/harshakanakaeswar

I’m a Software Engineer currently working at Aira, where I build scalable backend systems and event-driven microservices using Python. I recently developed a high-concurrency ML inference service and automated CI/CD workflows with GitHub Actions, Docker, and AWS.

Previously at Samsung R&D, I contributed to Android apps used by over 50M users—redesigning architecture for performance, enabling dual SIM support, and integrating privacy-focused ML features.

I hold an MS in Computer Science from UMass Amherst and a BTech in Electrical Engineering from IIT Madras. I'm passionate about designing efficient, production-grade systems and am currently exploring Backend and SDE roles.

Tech Stack: Python, FastAPI, AsyncIO, Docker, Kubernetes, GitHub Actions, ClickHouse, SQL, AWS, Android, Java, Kotlin, JUnit, Mockito

## Work Experience
### Software Engineer @ Ambient.ai
Jan 2026 – Present | United States

### Software Engineer @ Aira Technologies
Jan 2025 – Jan 2025 | Saratoga, CA
• Built a scalable Python microservice using asyncio, multithreading, and semaphore locks to enable 200+ concurrent ML predictions per minute, significantly reducing latency.
• Engineered event-driven backend workflows that improved overall system responsiveness by 60%, ensuring seamless concurrent API execution.
• Designed and optimized a high-volume ETL pipeline ingesting over 1 billion records into ClickHouse, reducing query latency by 50%.
• Achieved a 70% reduction in data processing time by optimizing batch insert operations, enabling 5x faster ingestion of over 10 million records per day.
• Automated CI/CD pipelines using GitHub Actions, integrated SonarQube for continuous code quality checks, and deployed Dockerized applications on AWS, reducing deployment time by 30% and achieving 99.9% uptime.
• Orchestrated the deployment of 10+ microservices on Azure AKS using NGINX Ingress controllers and Kubernetes network policies for secure traffic routing; integrated Azure Files and Azure MySQL for persistent, scalable storage.
• Developed an interactive chat interface supporting concurrent users, combining WebSockets for real-time updates and SSE streams for LLM-driven reasoning with chain-of-thought display; implemented asynchronous RESTful endpoints with thread-based concurrency and connection pooling, reducing database latency by 40% under load.

### Software Engineer - CL2 @ Samsung R&D Institute India-Noida
Jan 2020 – Jan 2022 | Noida, Uttar Pradesh, India
• Enhanced VisualVoiceMail performance by 40% and reduced code complexity by 20% through migration to MVVM and Kotlin.
• Implemented dual SIM support with 95% unit test coverage, reducing production bugs by 40%.
• Developed a machine learning model to detect high-risk app permissions, enhancing mobile user privacy.

### Research Intern @ Samsung R&D Institute India-Noida
Jan 2019 – Jan 2019 | Noida, Uttar Pradesh, India
• Developed motion detection algorithms using bandpass filters and step detection with accelerometer and gyroscope data to enhance accuracy in low-GPS environments.
• Improved IoT energy efficiency by implementing sensor-based room occupancy tracking, reducing reliance on GPS in low-signal areas.


## Education
### Master of Science - MS in Computer Science
University of Massachusetts Amherst

### Bachelor of Technology - BTech in Electrical, Electronics and Communications Engineering
Indian Institute of Technology, Madras


## Contact & Social
- LinkedIn: https://linkedin.com/in/harshakeswar

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Source: https://flows.cv/harshakanakaeswar
JSON Resume: https://flows.cv/harshakanakaeswar/resume.json
Last updated: 2026-04-10