Highly motivated Information Technology student with a strong foundation in full-stack development, DevOps, and machine learning. Proven ability to enhance system efficiency, streamline processes, and drive user engagement, demonstrated through impactful projects and an upcoming SDE internship at Acko. Eager to leverage expertise in Go, Python, AWS, and modern web frameworks to contribute to innovative software solutions as an Aspiring Software Engineer.
Bangalore, Karnataka, India
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Summary
As an SDE Intern at Acko, Sarveshwaar SS focused on enhancing the software development lifecycle, improving system observability, and optimizing user experience within the insurance platform.
Highlights
Eliminated 100% of journey restarts for field executives by resolving stale version issues in SDUI flows, significantly enhancing productivity and user experience through real-time validation and error handling.
Improved system observability and reduced triage time by 70% by optimizing logging strategies and integrating Firebase Crashlytics & Analytics for proactive issue detection.
Increased user retention by 12% by successfully developing and integrating the HSRP journey within Acko's SDUI-based auto services module.
Streamlined health insurance onboarding processes by developing the Health Profile Builder, addressing fragmented data capture through structured health flows.
Accelerated development testing and improved local developer productivity by creating a mock login system to efficiently bypass OTP flows.
Python, Flutter, C, C++, Node.js, Java, React.js, TensorFlow (Keras), TypeScript, Kotlin (Android), Go, FastAPI, Flask.
MySQL, MongoDB, Redis.
Docker, Ansible, AWS (S3, SageMaker, EC2), Bash, CI/CD, Terraform, Kubernetes.
Git, Firebase, Restful APIs.
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Summary
• Built a subtitle text retrieval system combining SimHash, phonetic hashing, and OpenAI embeddings to support multi-strategy search. • Implemented fast approximate search with Redis (SimHash + phonetic) and semantic fallback using pgvector in PostgreSQL. • Developed a preprocessing pipeline for text cleaning, chunking, embedding with Ada, and designed a layered fallback (SimHash → Phonetic → Embedding) for robust query recall.
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Summary
• Designed and trained a CNN model for pneumonia detection from chest X-rays. • Deployed the model on AWS SageMaker for real-time, cloud-based diagnosis in low-resource settings. • Built an end-to-end pipeline enabling one-click predictions from local image upload to cloud inference.
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Summary
• Automated Linux server provisioning with Ansible, removing manual setup and reducing configuration drift. • Scripted tasks for package installs, user/file management, and service control. • Improved consistency and deployment efficiency through reproducible infrastructure.
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Summary
• Developed a headless file-sharing tool using Python and Bash with SSH/SCP for secure transfers. • Enabled data exchange in terminal-only or restricted environments without GUI or cloud services. • Automated uploads and downloads through scripting, ensuring seamless file access.
Technical Head
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Summary
Led the organization of Technotronz, a virtual intercollegiate technical symposium, fostering technical knowledge exchange and collaboration.
Highlights
Organized 'Technotronz', a virtual intercollegiate technical symposium, facilitating a platform for technical exchange and skill development among students.