# Meghana Karnam

> ML SWE Intern @ Alo | CS @ Johns Hopkins | RTC | TAPIA’25

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

I'm an AI enthusiast with expertise in machine learning, data analysis, and algorithm development. I've contributed to cutting-edge projects, including AI-driven drug discovery, and led teams in this domain. Proficient in Python, using libraries like scikit-learn and TensorFlow, I've also developed user-friendly ML interfaces with Streamlit. Seeking impactful opportunities, I aim to contribute to innovative projects that drive technological advancements. I'm eager to collaborate with like-minded professionals and organizations that share a passion for pushing the boundaries of AI.

## Work Experience
### Member @ Rewriting the Code
Jan 2025 – Present

### Co-Founder and Founding Engineer @ FashionFuse
Jan 2023 – Present
• Funded by Johns Hopkins Technology Ventures.
• Officially recognized by Wadhwani Foundation

### Teaching Assistant @ The Johns Hopkins University
Jan 2024 – Present | Baltimore, Maryland, United States
• TA for Intermediate Programming (C and C++) course - Fall 2024, Spring 2025
• TA for Finance and Accounting Course - Fall 2024
• TA for Applied Game Theory  Course - Spring 2025

### Research Assistant @ The Johns Hopkins University
Jan 2024 – Jan 2025
• Worked on Image Analysis and Image Segmentation.

### Software Engineer Intern @ ALO
Jan 2025 – Jan 2025 | San Francisco Bay Area

### Software Engineer Intern @ Omnicloud Consulting Inc.
Jan 2024 – Jan 2024 | Hyderabad, Telangana, India

### Project Manager Intern @ Centella Scientific
Jan 2023 – Jan 2023
• Demonstrated proficiency in utilizing JIRA for task planning and tracking.
• Supervised diverse tasks assigned to junior interns, facilitating knowledge transfer.
• Implemented Agile sprint planning, ensuring alignment with organizational objectives.
• Documented and monitored the contributions of junior interns, enhancing project transparency.
• Facilitated data-driven decision-making processes through comprehensive tracking of efforts.

### AI Engineer Intern @ Centella Scientific
Jan 2023 – Jan 2023 | India
• Implemented a Recurrent Neural Networks (RNN) and Reinforcement Learning (RL) model, achieving an accuracy rates of 90% and generating 94% novel compounds.
• Conducted comprehensive literature reviews to identify and assess potential models suitable for advancing Generative AI in the field of chemistry.
• Acquired proficiency in utilizing Python libraries, including scikit-learn, matplotlib, and advanced data visualization tools such as Bokeh and Vizard
• Demonstrated expertise in creating a user-friendly interface (UI) for machine learning models using Streamlit
• Utilized the Chembl API to retrieve and manipulate database data to meet user requirements.


## Education
### Master of Science - MS in Computer Science
The Johns Hopkins University

### Technical Interview Prep
CodePath

### Bachelor's in technology in Computer Science
Gokaraju Rangaraju Institute of Engineering and Technology


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

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Source: https://flows.cv/meghanakarnam
JSON Resume: https://flows.cv/meghanakarnam/resume.json
Last updated: 2026-03-29