Hi, I'm Taariq Hassan

Building high-signal tools and evidence engines from antibiotics to AI research apps to trading systems.

$ introduction
Location
Dallas, Texas
Education
Biochemistry Graduate
Southern Methodist University
Minors: Computer Science & Arabic
Current Focus
Currently building THE Clinical Context Compiler — a Typescript framework engine for safe, auditable, intelligent clinical AI
Core Technologies
TypeScript
React
Node.js
Python
PyTorch
PostgreSQL
AWS
Docker
Three.js
TensorFlow
$ cat research.md
Carbapenem Structure

Modified Carbapenem Antibiotics with Improved Activity Against KPC Carbapenemase-Producing Enterobacterales

US Patent Application 20240383899 A1 • Published November 21, 2024

"Restoring the power of carbapenems against even the most resilient KPC-producing pathogens through strategic molecular modifications."
Key Innovation:
Composition of matter for C-3-modified carbapenems exhibiting KPC resistance. C8 stereochemistry switching (8R→8S) produced a 16× potency gain, driving MIC reduction from 8 μg/mL to 0.5 μg/mL against resistant strains in vitro.
My Contribution:
Co-inventor contributing to synthesis planning, SAR analysis, and bench validation (UHPLC/MS, MIC testing). Helped draft data and claims for patent submission, emphasizing beta-lactamase stability and clinical relevance for CRE infections.
16×
Improvement in Activity
0.5 μg/mL
MIC vs Resistant Strains
TRL 4-5
Technology Readiness
Patent Published Antibiotic Resistance Medicinal Chemistry KPC Carbapenemase Structure-Activity
$ git log --work-experience
Founder, AI Systems Engineer
Calyra, Clinical Context Compiler
June 2025 - Present
Dallas, TX
  • Built a TypeScript clinical AI framework for orchestrating multi-agent LLM workflows with tool-calling, retrieval, safety checks, and human-in-the-loop override controls.
  • Engineered a context compiler + RAG layer that converts FHIR/EHR data into token-optimized, auditable context bundles with structured memory and model-agnostic API switching.
  • Implemented a graph-based safety engine with suspend/resume execution, rule-driven guardrails, and streaming validation for compliant AI decisions in clinical environments.
Lead Founding Engineer
Tiffyn, Intercity Batch-Delivery Startup
Jan 2025 - Present
Dallas, TX
  • Architected React/Node.js platform with AWS Elastic Beanstalk, RDS (PostgreSQL), Cognito, and Stripe integration.
  • Developed a lightweight admin console for order management, driver assignment, refunds, and status overrides to keep batches on schedule.
  • Implemented LLM-powered customer interaction prototype for automated support + delivery FAQs across chat + SMS.
  • Scaled from pilot to hundreds of monthly intercity deliveries, forming student organization partnerships across multiple Texas universities.
Computational Chemistry Researcher
Southern Methodist University, Department of Chemistry
June 2021 - May 2025
Dallas, TX
  • Automated in-silico modeling pipeline using Python, MolSoft/ICM, RDKit and GROMACS + TensorFlow, integrating docking → property prediction → molecular dynamics validation.
  • Designed modular compute workflows enabling distributed batch processing and task scheduling for GPU workloads.
  • Correlated ML predictions w/ experimental outcomes, achieving top-quartile predictive accuracy for structure-activity relationships and extended SAR and QSAR analyses on C6/C8 analogs.
  • Invented JDB-1-200, a modified carbapenem achieving 16× MIC reduction (8 → 0.5 μg/mL) against KPC-producing Enterobacterales via targeted stereochemical optimization.
$ ls -la /projects
🏥

Calyra

Clinical Context Compiler

Typescript framework for clinical workflows with FHIR/EHR integration, multi-agent orchestration, and compliance-focused safety systems for healthcare environments.

TypeScript LLM Orchestration FHIR Graph Systems
View Project
🍱

Tiffyn

Marketplace Platform

Homemade meal delivery service connecting families with college students. Full-stack application with real-time tracking, payment processing, and sophisticated matching algorithms.

React Node.js PostgreSQL Stripe AWS
View Project
💊

Sciena

Research Platform

Research-backed supplement research platform that analyzes scientific literature to provide evidence-based recommendations and insights.

Machine Learning Data Science React PostgreSQL
View Project
🧬

Atavus

Genomic Analysis

Advanced genomic analysis tool for personalized health insights, utilizing machine learning to interpret genetic data.

Python Bioinformatics ML Models Data Viz
View Project
⛓️

Solstice

Blockchain Analytics

Comprehensive blockchain analytics platform providing real-time insights into DeFi protocols, smart contracts, and market trends.

Web3.js Ethereum GraphQL React
View Project
$ ./trading-indicators --list
IPDA Standard Deviation
Dynamic standard-deviation bands around volume-weighted distribution. Volatility channels with mean-reversion signals and session-based pivots.
TIDE+ Zone Model
Multi-timeframe FVG confluence model combining 1H & 4H overlaps with standard-deviation bands. Built-in risk management with ATR-based targets for systematic execution.
First Presented FVG
Detects first imbalances within defined kill-zones and timeframes. Identifies early institutional entries before market fills the gap using ICT methodology.
Smart FVG All Timeframes
Ultimate dashboard displaying gaps from 1m to 4H. Color-coded timeframes with advanced sizing filters for major imbalances and institutional activity.
PRISM Zone Model
Multi-timeframe tool plotting 4H order blocks with 1H and 15m inverse FVGs. Highlights ultra-high-probability entry zones with breaker block context.
Futures Settlement
Automatically fetches CME futures settlement levels. Anticipate expiry zones and gamma flip levels for options positioning strategies.
Orderflow Imbalance
Real-time orderflow analysis with delta divergence and cumulative volume delta tracking
Supply & Demand (Visible Range)
Dynamic zone generation based on visible bars. Volume-weighted zone strength with custom lookback settings for significant imbalances
Order Block Multi-TF
Multi-timeframe order blocks and breaker blocks with distinct colors and labels. Toggle timeframes with auto-extend and manual trim options.
Trading Philosophy

Specializing in quantitative trading strategies using Pine Script on TradingView. Focus on institutional order flow analysis, market microstructure, and machine learning-enhanced signal generation. All indicators are rigorously backtested with walk-forward analysis and Monte Carlo simulations for robustness.

$ contact --list
Ready to collaborate

Let's build something extraordinary together.