Hi, I'm Anannya.
I'm a Full Stack Developer
I'm a developer transforming ideas into software, one feature at a time.
I'm somewhat of a 'Jack of Multiple Trades', as I love to get my hands dirty and try out new things, out of curiosity, but mostly just for the fun of it.
If this intrigues you, Let's connect!
About.
Hello! I'm Anannya, a USC Computer Science Master's candidate with a knack for building scalable solutions and a passion for impactful technology. From enhancing patient care systems at Athenahealth to optimizing real-time scooter tracking at Bounce, I apply my expertise in Python, Java, and a suite of backend technologies to solve complex challenges. I've also ventured into frontend development with Angular, Vue, and NextJS and am currently exploring Machine Learning.
Beyond technical skills, I actively contribute to the tech community through my involvement in ACM and the Society of Women Engineers, advocating for technology as a tool for positive change.
Outside of work, I love to bake delicious treats and feed my friends.
I'm actively looking for Software Development Engineering positions where I can utilize my love for code to create futuristic software. If you're looking for someone who blends analytical prowess with innovation and strategic insight, let's connect and explore how we can drive technology forward together! 🔗
Work Experience Skills
Projects Skills
Experience.
I enhanced medication tracking and system efficiency by designing scalable features and developing REST APIs for the Ambulatory Care Management system. I also improved database performance, implemented telemetry logging, and significantly boosted patient care and pharmacy communication.
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I spearheaded the upgrade and modularization of Angular components, reducing security vulnerabilities by 25%. Additionally, I led the improvement of hashing logic for prescriptions, significantly boosting medication accuracy and patient safety, and addressed high-impact bugs.
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As a backend Intern, I developed REST APIs for real-time scooter tracking, designed a comprehensive scooter maintenance inventory system, and scaled the platform to handle 300,000 users daily.
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Projects.
Publications.
The research utilizes supervised learning to categorize products into predefined catalog hierarchies based on their names and descriptions. Various machine learning models, including decision trees, SVM, random forest, logistic regression, and Naïve Bayes, were tested, with logistic regression achieving the highest accuracy at 91.55%.
Citation: Patra, Anannya, et al. "Product Classification in E-Commerce Sites." Progress in Advanced Computing and Intelligent Engineering. Springer, Singapore, 2021. 485-495.
This research introduces an efficient, cost-effective, and user-friendly IoT-based indoor air quality monitor developed using Arduino Uno. The system detects harmful gases such as CO, CO2, CH4, SO2, Acetone, and NH3, sends sensor data to the cloud, and provides users with real-time updates and alerts through interactive graphs and email notifications. This initiative addresses the growing concern over indoor air pollutants, exacerbated by increased indoor time due to the COVID-19 pandemic.
Citation: Anannya Patra, Arvind S, Gautham M K, Sreelatha R, "Air Quality Monitor using Arduino,"International Journal of Computer Trends and Technology, vol. 69, no. 7, pp. 29-34, 2021.Crossref, 10.14445/22312803/IJCTT-V69I7P104
The research addresses the high energy consumption and carbon footprint of data centers due to advanced hardware and cooling systems. It reviews solutions for reducing energy use without sacrificing efficiency and discusses challenges in in achieving these greening objectives for the data centers.
Citation: Anannya Patra, Anirudh B, Arvindh S K, Gautham M K, Irene Komal P, Lalitashree Hedge, Dr. Sheela S V, 2021, Greening Data Centers- Holistic Methodology, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) NCREIS – 2021 (Volume 09 – Issue 13)
Contact.
I'm always open to discussing new opportunities, collaborations, or just having a chat about anything and everything. I look forward to creating meaningful connections!
Shoot me an email or reach out to me via LinkedIn.