Vishwajeet Prasad

Software Engineer

Bengaluru, Karnataka, India1 yr 9 mos experience

Most Likely To Switch

Key Highlights

Expert in developing healthcare data solutions.
Proven track record in optimizing cloud storage operations.
Strong background in competitive programming.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Healthcare data solutions and cloud technologies.

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Skills

Core Skills

JavaPythonGoogle Cloud

Other Skills

AlgorithmsApache KafkaArtificial Neural NetworksBashC (Programming Language)C++Cascading Style Sheets (CSS)Competitive ProgrammingComputer NetworkingData StructuresDatabase Management System (DBMS)DatabasesDeep Neural Networks (DNN)DockerFastAPI

About

I'm a Software Engineer, currently working at Meesho, where I'm part of Order Platform team, within Supply & Fulfillment department. Before this, I worked at Nference as an Intern, a company transforming biomedical data into actionable healthcare insights with strong focus on data privacy and security, where I was mostly tasked with developing and optimizing the DICOM Image De-Identification pipeline. I have bit of background in competitive programming too (Top 70 in IICC'22, Specialist on Codeforces and 4* on CodeChef). Tech stack: Java, Python, C++, SQL, SQLite, PostgreSQL, HTML, Spring Boot, Flask, FastAPI, Apache Kafka, VS Code, Vim, Bash, Git, GitHub, Linux (Ubuntu), Docker, Google Cloud (Compute Engine, Cloud Storage) Passionate about technology, software and company building at the intersection of these. Always eager to tackle complex technical challenges and contribute to impactful projects.

Experience

1 yr 9 mos

Total Experience

10 mos

Average Tenure

1 yr 3 mos

Current Experience

Meesho

Software Development Engineer I

Mar 2025 – Present · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

- Part of Order Platform team, within Supply & Fulfillment department.

JavaPythonC++SQLHTMLSpring Boot+5

Nference

Software Engineer Intern

Aug 2024 – Feb 2025 · 6 mos · Bengaluru, Karnataka, India · Hybrid

Worked on DICOM de-identification pipeline to protect patient privacy in medical imaging.
Built a caching system for listing operations using serialization, cloud object storage & data integrity checks.
Optimized Google Cloud Storage downloads by implementing an SDK-based approach with streaming & DICOM modality detection—reducing execution time by 95% compared to CLI methods.
Created unit tests with pytest, including mocked network calls for data fetch and upload utilities.
Developed concurrent Python scripts for header data generation (with cloud I/O and multithreading), DICOM file duplication with metadata updates, and header analytics with CSV export.
Developed a dynamic Helm configuration generator that filters tasks based on workflow, AMC, and processor, automatically generating configurations in Helm value templates.
Technologies: Python, Bash, Git, Docker, Linux, Google Cloud (VM, Object Storage)

PythonBashGitDockerLinuxGoogle Cloud