RB

Rama Bachimanchi

Computer Science & Math Student at UMass Amherst

About Me

Education

BS in Computer Science

Minor in Mathematics | GPA: 3.87

UMass Amherst - Expected Graduation: May 2027

Member of Dean's List

I'm a passionate Computer Science student with a focus on machine learning and full-stack development. My experience spans from building mobile applications to developing sophisticated trading algorithms and conducting cutting-edge research in privacy-preserving machine learning.

ramabac2006@gmail.com
508-414-4052
linkedin.com/in/ramachaithanya

Skills

C++
Java
Python
JavaScript
SQL
React
React Native
Node.js
Express.js
Supabase
MongoDB
Mongoose
Expo
Git
GitHub Copilot
TypeScript
NumPy
Pandas
PyTorch
TensorFlow
MATLAB
Pinescript
Deep Learning
Reinforcement Learning
Computer Vision
Privacy-Preserving ML
Quantitative Trading
Edge Computing
Microservices
CI/CD
AWS
Google Cloud
Bloomberg Terminal
FFmpeg
Gen AI
Gemini
Google Veo
Groq
LLMs

Experience

Click on any experience to explore in detail

Agentic Media Generation Pipeline

Fullstack Engineer

August 2025 - Present

Built an AI content agent generating 4-figure MRR by automating ideation, prompt generation, video creation, and editing.

Automated publishing pipeline to 6+ platforms (Instagram, TikTok, Facebook, X, Threads, YouTube)
Deployed workflows with Google Cloud services and CI/CD pipelines
Generated 4-figure MRR through AI-powered content automation
Click to explore in detail →

Gills: Swim Team Management

Co-Developer

July 2025 - Present

Built an iOS mobile app using React Native, Supabase, and Edge Functions for swim team logistics.

Worked in a 3-person agile team
Engineered AI assistant powered by Groq-hosted LLMs
Adopted by 600+ coaches and swimmers across multiple teams
Click to explore in detail →

Machine Learning Research

Research Assistant

June 2025 - August 2025

Developed framework to detect training-time privacy leakage using discrete Laplacians.

Measured Δ-curvature ≈0.042–0.091 across models
Applied gradient-based influence functions
Achieved >87% AUC in identifying private-point influence
Click to explore in detail →

Autonomous Trading System

Machine Learning Engineer

March 2025 - May 2025

Engineered deep reinforcement learning agent for autonomous options and futures trading.

Achieved Sharpe ratios up to 3.18
90% win rates and 118% total returns
Backtested over 17,000 trades
Click to explore in detail →

Harvard Medical School

Research Assistant

Mar 2024 - Aug 2024

Developed deep learning algorithms for early lung cancer detection from chest X-rays.

Analyzed 5,000+ chest x-ray scans
CXR-LC model missed 30.7% fewer lung cancers
More accurate than CT screening used by CMS
Click to explore in detail →

Let's Connect

I'm always interested in new opportunities and collaborations. Let's discuss how we can work together!