Hi, I'm Najam Tariq

Software Engineer | AI Enthusiast

Computer Science student at Colby College with experience building AI-driven applications and scalable solutions. Passionate about leveraging technology to solve real-world problems.

Najam Tariq

About Me

I'm a Computer Science student at Colby College with a passion for building AI-driven solutions and scalable applications.

Currently working as a Software Engineer at ParaAI, where I spearheaded development of an AI-driven writing tool that achieved 200K+ users and $150K in Microsoft credits. I architect full-stack solutions integrating multiple AI models (GPT-5, Llama 4, Phi4, Opus 4.1) and engineer advanced AI pipelines.

I have a strong background in research, having worked as an Undergraduate Research Assistant at Colby College where I developed innovative solutions for eye-tracking data analysis. My work has been documented in published research papers and has contributed to advancing the field.

My experience spans full-stack development, AI/ML engineering, data processing, and DevOps. I'm passionate about building scalable applications and conducting meaningful research. I thrive in fast-paced environments and love tackling complex technical challenges.

0K+

Users Reached

0+

Projects Completed

0+

GPA (4.0 Scale)

Work Experience

Current

Software Engineer

ParaAI

Aug 2023 - Present San Francisco, CA
200K+ Active Users
$150K Microsoft Credits
4 Models AI Integration
  • Architected full-stack AI-driven writing tool integrating GPT-5, Llama 4, Phi4, and Opus 4.1
  • Engineered advanced AI pipeline with zero-shot, few-shot, and fine-tuning techniques
  • Led agile development, rapidly iterating features and integrating Stripe payments

Undergraduate Research Assistant

Colby College

Sep 2022 - May 2023 Waterville, ME
50% Algorithm Increase
5,000+ JSON Files
35% Error Reduction
  • Developed Fix8 PyQt5-GUI for automated eye-tracking data correction
  • Restructured and parsed 9 different eye-tracking datasets
  • Established automated protocols ensuring data accuracy and quality

Research & Publications

Fix8: Automated Eye-Tracking Data Correction

Davis Science Centre, Colby College • 2023

Developed a comprehensive PyQt5-based GUI application to automate the data-correction process for eye-tracking datasets. The tool increased available correction algorithms by 50% (from 8 to 12) and processed over 5,000 JSON files across 9 different datasets, achieving a 35% reduction in data errors.

PyQt5 Data Processing Eye-Tracking Python

Skills & Technologies

Programming Languages

Python Java C/C++ JavaScript PHP PineScript

AI & Machine Learning

GPT-5 Llama 4 Phi4 Opus 4.1 Fine-tuning RAG Pipeline

Developer Tools & Frameworks

React Next.js Flask Git Postman PyQt5

DevOps & Cloud

AWS GCP Docker Kubernetes CI/CD GitHub Actions

Databases

MongoDB PostgreSQL MySQL Redis Firebase

Data Processing

Pandas NumPy Data Visualization ETL JSON

Featured Projects

Open Source Contributions

Get In Touch

Have a project in mind or just want to chat? I'd love to hear from you!

Location

Waterville, ME

NAJAM::TERMINAL
>