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Fahad – Python, LangChain, OpenAI, experts in Lemon.io

Fahad

From United Statesflag

AI Engineer|Middle-to-senior
AI Agent Architect|Middle-to-senior

Fahad – Python, LangChain, OpenAI

Fahad is a middle-to-senior AI engineer with strong expertise in RAG systems, Python, and retrieval-focused architectures. He demonstrates solid conceptual depth in hybrid search, knowledge graphs, and evaluation frameworks, with hands-on experience in production AI and agentic systems. Fahad communicates technical concepts clearly and is comfortable with client-facing roles. While his design intuition is strong, recent assessments note a gap in rapid end-to-end coding execution under time pressure.

9 years of commercial experience in
AI
Banking
Biotech
Cloud computing
Healthcare
Agentic automation
Main technologies
Python
6.5 years
LangChain
2 years
OpenAI
2 years
LLM
2 years
AI agent development
2 years
RAG
1 year
Additional skills
Data annotation
Anthropic
Cohere
API
Terraform
Snowflake
AWS
GCP
Kubernetes
SQL
Microsoft Azure
CI/CD
Apache Kafka
ETL
PostgreSQL
MongoDB
Node.js
React
Salesforce
ElasticSearch
Tableau
Looker
GraphQL
AI
MCP
MLOps
LangGraph
FastAPI
Pydantic
JWT
OpenAPI
NumPy
Pinecone
Twilio API
WebRTC
Voice AI integration
PyTorch
Prompt engineering
AI agent orchestration
AI benchmarking
AI chatbot development
Vector Databases
Direct hire
Possible
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Experience Highlights

Principal AI Engineer
Jul 2023 - Ongoing3 years
Project Overview

Computational precision oncology for in-silico research to predict, design, and validate therapeutics before they are made

Project gallery:
Portfolio example for CrisPRO.ai by Fahad, Principal AI Engineer
Portfolio example for CrisPRO.ai by Fahad, Principal AI Engineer
Portfolio example for CrisPRO.ai by Fahad, Principal AI Engineer
Portfolio example for CrisPRO.ai by Fahad, Principal AI Engineer
Portfolio example for CrisPRO.ai by Fahad, Principal AI Engineer
Responsibilities:
  • Lead Author/Principal Investigator for high-impact oncology research presented at the AACR Special Conference in Cancer Research: Mechanisms of Cancer Immunity and Cancer-related Autoimmunity (2025), the AACR Special Conference in Cancer Research: Brain Cancer (2026), the AACR Annual Meeting (2026), and the ASCO Annual Meeting (2026)
  • Developed the "Therapeutic Forge," a generative engine to design high-efficacy CRISPR guide RNAs and custom regulatory elements (promoters/enhancers) to ensure precise, context-specific expression of therapeutic payloads (Abstract B025)
  • Architected agentic end-to-end in silico workflow for personalized cancer immunotherapies, collapsing the timeline for designing and validating therapeutics from years to hour. (Abstract B025)

Publications: https://scholar.google.com/citations?user=HrO6JwkAAAAJ&hl=en

Project Tech stack:
AI agent development
AI deployment
Data Modeling
AWS
Big Data
Data mining
Vector Databases
Data Warehouse
Data analysis
Data Structures
Claude Code
Netlify
Serverless Computing
AI
Hugging Face
PyTorch
Founding Generative AI Engineer
Jul 2023 - Ongoing3 years
Project Overview

Deployed Projects:

Finance: https://hedge-fund-co-pilot.vercel.app

LLM Benchmarks: https://openclaw-saas-wine.vercel.app | https://ClearMyMind.xyz

Phrma, Healthcare, Cancer Research | https://crispro.org | https://crispro.ai | https://vetonco-frontend.onrender.com

Creative Agency: www.agentic-creative-saas.vercel.app

Responsibilities:
  • Engineering AI governance across tenant policies, human-in-the-loop workflows, and individual metric storage with pass/fail thresholds, preventing deployment of underperforming models
  • Benchmarking enterprise LLM systems across Anthropic Claude, OpenAI GPT, Cohere, and Mixtral — deploying a pass@k and LLM-as-judge evaluation framework across 50+ domains
  • Developing multi-tenant agentic SaaS platforms spanning 3 live services (frontend, API, execution plane), with 27+ database tables, and benchmarked tenant-scoped orchestration Eliminating 23%+ silent failures rate by engineering a 4-pillar adversarial trap suite (Multi-hop, Temporal Logic, Chained Execution, Tool-misuse), stress-testing LLM systems
  • Developing RAG adaptations on graph dataset; achieved +10 percentage point accuracy lift (80% → 90%) on 1.2B model and 90% accuracy on 20B/120B models across multi-domain types
Project Tech stack:
AI agent development
API
React
Next.js
AWS
AI benchmarking
AI telemetry
AI deployment
Airtable
Senior Solutions Engineer
Apr 2021 - Jul 20232 years 3 months
Project Overview

It's a global leader that provides a unified, low-code platform for data integration, data quality, and data governance to unify data across cloud, hybrid, and multi-cloud environments.

Responsibilities:
  • Scaled 100+ ETL pipelines and converted enterprise data workflows using ETL, SQL, and AWS Kinesis.
  • Architected Kubernetes, Terraform, and AWS across 26 production environments, plus AWS, GCP, and Azure multi-cloud infrastructures with zero downtime.
  • Automated 15-minute CI/CD security pipelines.
  • Enhanced data workflows for AstraZeneca, accelerating reporting by 30%.
  • Closed 1000+ technical discoveries across 500+ Fortune 500 accounts.
  • Engineered HIPAA-compliant genomic pipelines via Talend Cloud, Kafka, and Snowflake, processing 1TB+ daily.
  • Integrated AWS Firehose into data pipelines.
  • Migrated 300+ ETL jobs via the platform's Cloud and Accelerators.
  • Optimized the platform Data Fabric to scale data processing and reduce production incidents by 65%.
Project Tech stack:
ETL
Kubernetes
Terraform
AWS
CI
CD
SQL
Apache Kafka
Snowflake
GCP
Microsoft Azure
AWS SageMaker
Serverless Computing
Lead Web Engineering Instructor
Dec 2020 - Apr 20214 months
Project Overview

It's a full-stack web development coding bootcamp.

Responsibilities:
  • Architected React, Node.js, MongoDB, and SQL production-grade deployments for 40+ students.
  • Engineered an Express, PostgreSQL, and REST API full-stack curriculum.
  • Accelerated internship placement to 97%.
  • Generated an 82% employment rate for graduates.
  • Achieved 3x peer employment rate for an underrepresented cohort.
Project Tech stack:
React
Node.js
MongoDB
SQL
PostgreSQL
Founding Solutions Architect
Jul 2017 - Apr 20191 year 9 months
Project Overview

It's an online marketplace that connects design enthusiasts with highly sought-after sellers and creators of vintage, antique, and contemporary furniture, home décor, art, jewelry, watches, and fashion.

Responsibilities:
  • Pioneered 1stdibs Trade architecture, deploying GraphQL, REST, Salesforce, Outreach integrations establishing integration playbooks — 5K+ dealer onboarding framework
  • Drove a 200% increase in dealer acquisition efficiency by unifying disparate sales and engineering workflows — spearheaded the pre-IPO scaling of a $250M GMV platform
  • Scaled $1M+ quarterly sales, architected Looker, Elasticsearch, Tableau, Node.js for multi- currency; 28-country rollout — partnered product and engineering to 5M+ monthly users
  • Accelerated 40% conversion & 25% dealer growth; architected Tableau & Salesforce dashboards 50+ bi-quarterly technical demos — end-to-end pre-sales to post-sale global implementations
Project Tech stack:
GraphQL
Salesforce
Looker
ElasticSearch
Tableau
Node.js

Education

2021
Computer Science
BS

Languages

Spanish
Advanced
Hindi
Advanced
English
Advanced

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