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Najam Tariq
Software Engineer at ParaAI

Najam Tariq

I build AI-powered products that scale. CS '26 at Colby College, Presidential Scholar. Currently engineering tools used by 200K+ people — from writing assistants to data pipelines to open-source infrastructure.

200K+ Users reached
$150K Microsoft credits
10+ Projects shipped
4.0 GPA

Experience

Aug 2023 — Present San Francisco, CA

Software Engineer at ParaAI

Founded and built ParaAI from scratch at the end of freshman year — an AI co-writer that refines AI-generated content with a more human tone. Grew from 500+ users in the first 15 days to 200K+ active users, securing $150K in Microsoft Founders Hub credits. Architected full-stack solutions integrating GPT-5, Llama 4, Phi4, and Opus 4.1. Engineered advanced AI pipelines with zero-shot, few-shot, and fine-tuning techniques. Led agile development with Stripe payments integration.

Full-Stack AI/ML React Python Stripe
Sep 2022 — May 2023 Waterville, ME

Research Assistant at Colby College

Developed Fix8, a PyQt5-based GUI for automated eye-tracking data correction. Increased available correction algorithms by 50%, processed 5,000+ JSON files across 9 datasets, and achieved a 35% reduction in data errors. Published research in Behavior Research Methods.

Python PyQt5 Data Processing Research

Projects

VibeMail

AI-powered Chrome extension for Gmail. Smart suggestions, context-aware completions, and one-click replies.

Chrome Extension JavaScript AI/ML

DeepDrive

Telegram bot for secure cloud file sharing with 2GB limit. Zero data loss, 95% faster backups.

Telegram API Python Cloud

Fibonacci Ribbon

TradingView indicator using Fibonacci-based moving averages for dynamic market trend analysis.

PineScript TradingView

Open Source

gpt4free

Collection of powerful language models — o4, o3, deepseek r1, gpt-4.1, gemini 2.5

65.4k stars

whispercpp.py

Python bindings for whisper.cpp — high-performance speech recognition

Python

fast-graphrag

Efficient GraphRAG for knowledge graphs from unstructured data

GraphRAG

Research

Fix8: Automated Eye-Tracking Data Correction

Behavior Research Methods · Springer · 2025

Comprehensive PyQt5-based GUI automating data-correction for eye-tracking datasets. Increased correction algorithms by 50%, processed 5,000+ JSON files, achieved 35% error reduction.

Education

Colby College

2022 — 2026

B.A. Computer Science

GPA 4.0
Presidential Scholar
Dean's List

Featured in Colby News for entrepreneurship work at Halloran Lab. Founded ParaAI during freshman year, accepted into the Microsoft Founders Hub program.

Toolkit

Languages

PythonJavaC/C++JavaScriptPHPPineScript

AI / ML

GPT-5Llama 4Phi4Opus 4.1Fine-tuningRAG

Frameworks

ReactNext.jsFlaskPyQt5Git

Cloud & Infra

AWSGCPDockerKubernetesCI/CD

Databases

MongoDBPostgreSQLMySQLRedisFirebase

Get in touch

Have a project, a question, or just want to say hello.

najam.tariq@colby.edu +1 (207) 313-6193

Waterville, ME