# Aneek Barua

> Machine Learning Engineer | LLMs, Computer Vision, RL | Georgia Tech MS

Location: New York City Metropolitan Area, United States
Profile: https://flows.cv/aneek

Machine Learning Engineer with 2+ years building production ML systems for LLMs, computer vision, and reinforcement learning. Currently at STR developing neural networks, fine-tuning language models, and deploying generative AI infrastructure.

Background: MS in Computer Science (Machine Learning) from Georgia Tech, BS in CS + Pure Math from Stony Brook. Previously at Twitter optimizing ads ML serving systems.

Interests: Large language models, model fine-tuning/LoRA, production ML systems, neural theorem proving, and scalable inference infrastructure.

## Work Experience
### Software Engineer - Machine Learning @ STR
Jan 2023 – Present
- Machine learning engineering for binary analysis, document processing, and generative AI systems
- Developed neural network models for code intelligence, vulnerability detection, and automated configuration generation
- Built and deployed production ML pipelines using LLMs, computer vision, and reinforcement learning

### Undergraduate Research Assistant @ Stony Brook University
Jan 2021 – Jan 2024 | Stony Brook, New York, United States

### NLP Engineer Intern @ ObjectSecurity
Jan 2022 – Jan 2023 | Stony Brook, New York, United States
- Developed NLP-based autocorrect and data validation systems for document processing
- Implemented Python-based automation reducing processing time and error rates

### Machine Learning Engineer Intern @ Twitter
Jan 2022 – Jan 2022 | New York City Metropolitan Area
- Optimized Ads CTR prediction serving infrastructure, reducing latency by 70% and increasing throughput by 60%
- Designed scalable architecture improvements for high-throughput ML serving systems

### Machine Learning Engineer Intern @ Rose Technology
Jan 2021 – Jan 2022 | New York City Metropolitan Area
- Built data processing pipeline optimizations and computer vision systems for document analysis
- Developed OpenCV-based automation reducing manual data entry costs by 80% across 50k+ documents

### FRC Team Member @ FIRST
Jan 2014 – Jan 2019
Team 3419

### Research Fellow @ NYU Tandon School of Engineering
Jan 2018 – Jan 2018 | Greater New York City Area
Worked under the supervision of graduate student
Shihong Fang in programming Convolutional Neural Networks
to navigate self-driving vehicles. 
Wrote the used Convolutional Model in Python and trained
based off camera images of various tracks to create a black-box
interconnected neuron array within the model for navigation.

### Teacher @ Queens Borough Public Library
Jan 2017 – Jan 2018
Lead the Google CS First class at the Lefferts local branch.
Spearheaded the continuity of the program and organized
classes twice a week for kids aged 4-12.


## Education
### Master of Science - MS in Computer Science
Georgia Institute of Technology

### Bachelor of Science - BS in Artificial Intelligence, Computer Science
Stony Brook University

### Bachelor of Science - BS in Pure Mathematics
Stony Brook University

### Dual Enrollment in Computer Science
Hunter College

### High School Diploma in None
Hunter College High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/baruaaneek
- Portfolio: https://absolutunit.github.io

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Source: https://flows.cv/aneek
JSON Resume: https://flows.cv/aneek/resume.json
Last updated: 2026-04-13