# Muskan Panchal

> SWE @Frugal Innovation | SCU’25 | Former Intern @Microsoft | KJSCE IT’23

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

Software Developer with a Master’s in Computer Science from Santa Clara University. At Microsoft, We developed sentiment analysis with Azure cloud technologies such as Azure Machine Learning, Azure Event Hub, Azure Databricks. Also Experienced in designing and managing AWS DynamoDB databases, developing serverless applications with AWS Lambda, and implementing secure authentication with AWS IAM policies. Skilled in web development using React.js and Node.js, and optimizing databases with MongoDB and MySQL. Proven track record in cloud migration, reducing infrastructure costs. Passionate about leveraging cutting-edge technologies to drive innovation.

## Work Experience
### Software Developer @ SCU Frugal Innovation Hub
Jan 2025 – Present
• Designed and maintained scalable data pipelines using Python, SQL, and cloud storage, processing semi-structured logs 
and metrics to support analytics, reporting, and performance investigations across engineering workflows. 
• Analyzed infrastructure workload behavior by profiling CPU, memory, and IO patterns in Linux environments; built 
lightweight scripts to compare runs and identify bottlenecks impacting throughput and latency. 
• Delivered production-quality code with git-based CI/CD, containerized services using Docker and Kubernetes, and 
collaborated cross-functionally to automate ingestion, validation, and continuous improvement of data and analysis

### Graduate Teaching Assistant @ Santa Clara University
Jan 2025 – Jan 2025
Graduate Teaching Assistant for CSEN 275-Object Oriented Analysis, Design and Programming
Graduate Teaching Assistant for CSEN 359-Object Oriented Design Pattern

### Software Engineer @ Career Launch
Jan 2024 – Jan 2024 | San Francisco Bay Area
• Engineered GPU-aware ETL pipelines using Apache Spark and Databricks, applying partition pruning, join optimization, and 
memory-efficient transformations across petabyte-scale analytics workloads on distributed clusters. 
• Optimized compute and storage I/O paths via vectorized query execution and Parquet-level compression, improving query 
throughput by 38% and memory utilization across multi-node systems. 
• Integrated CUDA-enabled data preprocessing modules with Python APIs, accelerating aggregation and filtering tasks using RAPIDS 
cuDF, and benchmarking kernel performance for high-density datasets.

### Application Developer – Azure Cloud and AI @ Microsoft
Jan 2022 – Jan 2022 | Hyderabad
• Built an AI-driven ETL pipeline for twitter sentiment analysis using LSTM models deployed on Azure Cognitive 
Services, improving accuracy by 30% through advanced preprocessing. 
• Used LSTM networks on scraped data for context-aware twitter sentiment predictions, utilizing Python libraries 
for efficient data preprocessing and achieving real-time sentiment scoring with Azure ML. 
• Developed real-time twitter sentiment dashboards using Azure Power BI, integrating LSTM model outputs with 
automated pipelines via Azure DevOps and ARM templates, reducing manual analysis time by 50%

### Hardware/ Electronics Engineer @ Ambetronics Engineers Pvt. Ltd.
Jan 2021 – Jan 2022
• Network Performance Optimization: Implemented TCP/IP networking protocols for efficient data 
transmission and real-time communication between IoT devices and cloud servers, improving data reliability 
• System Virtualization & Cloud Integration: Used Docker to containerize IoT applications for seamless 
deployment, reducing resource utilization by 20%, and integrated devices with cloud platforms to achieve 
99.8% data transmission reliability. 
• Real-Time Traffic Monitoring: Enhanced network reliability by deploying tools like Wireshark to monitor 
traffic flow and optimize routing protocols, reducing latency in IoT communication by 15%.

### Software Engineer @ Ruchi Infotech. Yashi Infotech
Jan 2021 – Jan 2022 | Mumbai
• Architected and managed a scalable, high-availability database using AWS DynamoDB, enabling storage and retrieval of 
over 500K student data points. Improved data access speed by 35%  
• Developed serverless applications with AWS Lambda to handle real-time data queries and webhooks, and built ETL 
pipelines for data transformation, reducing server management overhead by 50%.   
• Collaborated with stakeholders to gather technical, functional, and non-functional requirements in an Agile workflow. 
• Created JIRA boards to organize project tasks, track progress, and ensure timely project delivery.


## Education
### Master of Science - MS in Computer Science Engineering
Santa Clara University

### KJ Somaiya College of Engineering, Vidyavihar

### Diploma in Computer Science Engineering
SVKM's Shri Bhagubhai Mafatlal Polytechnic

### Primary and Secondary School in Secondary Education and Teaching
Gyan Kendra Secondary School


## Contact & Social
- LinkedIn: https://linkedin.com/in/muskan-panchal-64b180213

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