Production experience
Backend engineering
Go and Node.js services, API integrations, query optimization, and resource-conscious engineering.
- Go
- Node.js / NestJS
- TypeScript
- REST APIs
- SQL
Ahmed Farooq · Software engineering & research
Backend &
AI Engineer.
I build backend systems that process 35M+ events a month.
I build backend services, distributed data pipelines, and AI training and inference workflows. My background also includes simulation-based research on energy optimization in UAV swarm networks.
M.S. Computer Science, NUST · B.S. Electrical Engineering
From production systems to intelligent systems.
Go · Distributed services · Applied AI
- CRM accounts synchronized
- 70+
- Contacts across client agencies
- ~5M
- Data events processed monthly
- 35M+
- Legal files in a RAG system
- 100K+
Selected engineering & AI work
Built around real constraints.
Backend scale, reliable workflows, and AI applications. Explore the problem, my contribution, and the decisions behind each project.
7 projects shown for All.
Local AI runtime & agent orchestration
Localbots
A Go-based local agent framework and web studio: a manager coordinates specialist bots through one resident Qwen3 model, with no cloud API required after setup.
- Backend
- AI inference
- AI training
Backend & synchronization
Smartlistzero
Go-powered CRM synchronization and performance analytics across 70+ agencies managing approximately 5 million contacts.
- Backend
- Distributed systems
Event-driven automation & applied AI
Trevy
Event-driven marketing workflows, high-volume messaging, and CRM-grounded LLM content generation.
- Backend
- Distributed systems
- AI inference
- Swarm energy scenario
- Optimization & ML methods
- Comparative simulation
- HHO baseline analysis
Undergraduate research · 2023
UAV swarm energy optimization
Simulation-based investigation of UAV-node energy consumption using metaheuristics and machine learning, compared with Harris Hawks Optimization.
- UAV research
- AI training
- Legal files
- Chunking & embeddings
- Relevant retrieval
- Context & generation
Retrieval & grounded inference
Legal document RAG
A production retrieval-augmented generation pipeline over more than 100,000 legal files.
- Backend
- AI inference
- Image inputs
- Preprocess & normalize
- Detection / analysis
- Prepared data
Computer vision & data engineering
Skin-tone & dataset pipelines
Skin-tone and undertone analysis, a custom Monk Skin Tone detection system, and model-ready image data workflows.
- AI inference
- AI training
- Text datasets
- Preprocessing
- Training & evaluation
- Inference integration
Model training, evaluation & inference
NLP classification workflows
End-to-end classifiers for harmful and biased language, from dataset preparation through application integration.
- AI training
- AI inference
Focus areas
A systems mindset, across the stack.
Production engineering, applied AI, and simulation-based UAV research. Each area is grounded in work I have done, with room to keep exploring.
Production experience
Distributed systems
Synchronization, event-driven services, background jobs, and high-volume data workflows.
- Redis
- BullMQ
- PostgreSQL
- MongoDB
- SQLite
Applied AI
AI inference
Local model serving and agent orchestration, retrieval-grounded LLM applications, computer vision, and asynchronous image-generation services.
- llama.cpp
- Local LLMs
- RAG
- Embeddings
- LLM workflows
Applied AI
AI training & data
NLP training and evaluation, model-ready datasets, experimental local QLoRA specialization, and personalized image-model training through managed AI services.
- Python
- NLP
- Computer vision
- Dataset engineering
- Model evaluation
- QLoRA / LoRA experiments
Undergraduate research
Drones & UAVs
Simulation-based energy optimization in UAV swarm networks, with continuing interests in edge inference, distributed intelligence, and wireless communication.
- MATLAB / Octave
- Genetic algorithms
- Simulation-based evaluation
Experience
Software with a practical foundation.
I am a software engineer and M.S. Computer Science student at NUST (SEECS), with a B.S. in Electrical Engineering. My experience spans Go synchronization engines, high-volume event processing, local AI agent runtimes, legal RAG, computer vision, and personalized AI image generation.
Rev9 Solutions
Feb 2025 – Present
Associate Software Engineer
Software engineering & applied AI
- Architected a Go synchronization engine that collects, processes, and stores Follow Up Boss records for 70+ CRM accounts, handling 4M+ updates per 10 seconds on constrained compute resources.
- Built event-driven services and automation workflows using NestJS, Redis, and BullMQ; cut a critical Smartlistzero dashboard query from roughly 3 minutes to 8 seconds using precomputed summaries, incremental updates, and caching.
- Developed grounded LLM workflows using customer profiles, behavioral data, and lead status, alongside skin-tone analysis and dataset preparation pipelines.
Instech
Mar – Jul 2026
AI Engineer
Part-time · Remote
- Developed a production retrieval-augmented generation system over 100,000+ legal files.
- Implemented ingestion, chunking, embeddings, retrieval, context construction, and LLM generation, with attention to relevance, latency, and grounded responses.
Independent / Freelance
2020 – Present
Machine Learning & AI Engineer
Project-based work
- Built NLP classifiers with end-to-end dataset preparation, training, evaluation, inference, and application integration.
- Developed personalized AI image-generation workflows using managed model training and asynchronous inference services.
UAV swarm energy optimization
2023
Undergraduate researcher
Supervised by Dr. Tamoor Shafique
- Investigated UAV-node battery-life and energy consumption through simulation, benchmarking candidate methods against Harris Hawks Optimization.
- Designed and evaluated genetic algorithms, fuzzy logic, decision trees, and convolutional neural networks, with comparative simulations in MATLAB, Octave, and Python.
Skills
Tools I have used in the work above.
Backend & distributed systems
Go · TypeScript · Node.js · NestJS · REST APIs · Redis · BullMQ · PostgreSQL · MongoDB · SQLite
AI, training & inference
Python · RAG · Embeddings · LLM workflows · NLP · Computer vision · llama.cpp · LoRA / QLoRA · Dataset engineering · Model evaluation
Research & simulation
MATLAB · Octave · Genetic algorithms · Fuzzy logic · Decision trees · CNNs · Harris Hawks Optimization
Supporting frontend
React · Next.js · React Flow · Tailwind CSS
Research & education
Intelligence beyond the server.
In 2023, I investigated energy consumption in UAV swarm networks through simulation, comparing metaheuristic and machine learning approaches against Harris Hawks Optimization. The work connected genetic algorithms, fuzzy logic, decision trees, and convolutional neural networks with energy-aware system design.
I want to extend that foundation toward edge AI inference, distributed intelligence, and communication-aware aerial systems. These are continuing research interests, separate from the completed simulation study.
Discuss research collaborationResearch interests
- Intelligent drones & UAV systems
- Energy-aware UAV swarm design
- Edge AI inference
- Federated & distributed learning
- AI for wireless communications & 6G
- Integrated sensing & communication
- Reinforcement & deep reinforcement learning
- Resource allocation & interference management
- Metaheuristic & ML-based optimization
- Signal processing & intelligent communication systems
2026 – Present
M.S. Computer Science
NUST · SEECS
Algorithms, scalable systems, AI infrastructure, and AI-driven system design.
2020 – 2024
B.S. Electrical Engineering
Mirpur University of Science & Technology
Signal processing, mathematics, algorithms, and analytical problem-solving.
People I have worked with
A few words from collaborators.
Recommendations from engineering colleagues and academic mentors.
I had the opportunity to work with Ahmed Farooq at Rev9 Solutions, and I was truly impressed by his talent and dedication. He consistently went beyond his core tech stack and responsibilities to solve complex problems. Ahmed designed an algorithm to tackle a challenging issue, ensuring 100% uptime while significantly reducing system overhead and database bottlenecks. He also optimized the database performance, resulting in smoother and more efficient operations.
Tayyab Cheema
Full Stack Developer | Cloud Infrastructure & Security
LinkedIn recommendationI had the opportunity to work with Ahmed Farooq at Rev9 Solutions, where he was the lead of my development in Shopify app projects. He has very strong technical concepts and solid fundamentals — give him any language or technology, and he can quickly adapt and deliver quality work. Ahmed approaches development in a structured and efficient way, always focused on clean solutions and strong problem-solving. Beyond his technical strengths, he is an intelligent, supportive, and reliable colleague who genuinely helps the team grow.
Alyan Hanif
Full-Stack Developer | Shopify Extensions | Flutter
LinkedIn recommendationI highly recommend Ahmed for his exceptional expertise in networks and machine learning. His project involved genetic algorithms, decision trees, and convolutional neural networks to predict energy use. Throughout his work, Ahmed effectively utilized Octave, MATLAB, and Python to implement simulations, demonstrating his ability to quickly grasp complex concepts and apply them to optimize energy consumption.
Dr. Tamoor Shafique
Course Leader, MEng/BEng Electrical & Electronic Engineering
LinkedIn recommendationStart a conversation
Hiring for a backend or AI role?
Send a short message about the role and team, or download my CV above. I reply by email.
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Take a closer look
A CV for your area of interest.
PDF documents · four perspectives on my work