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Available for opportunities

Akhtar
Shah

AI Engineer specializing in autonomous agents, LLMs, and production-grade AI systems. Building with AWS Bedrock, AgentCore, FastAPI, and RAG pipelines to turn complex AI into working products.

akhtar@ai-engineer ~ zsh
whoami --json {   "name": "Akhtar Shah",   "role": "AI Engineer",   "location": "Islamabad, PK",   "stack": [     "AWS Bedrock", "AgentCore",     "FastAPI", "LangChain",     "RAG Pipelines"   ],   "status": "open_to_work" }
2+Years Exp.
6+AI Projects
3Roles
01 / about

Building AI that
Actually Ships

I'm an AI Engineer at Vizz Web Solutions and concurrently an AI Engineer Consultant at Airec — building real, production-grade AI systems that solve actual business problems.

My work spans the full lifecycle: identifying the business problem, designing the AI architecture, building model pipelines, and deploying at scale. I specialize in autonomous agentic systems, RAG pipelines, and LLM fine-tuning.

CS graduate from UOLI, currently deep in the AWS Bedrock + AgentCore ecosystem, pushing the boundaries of what autonomous AI agents can do in production.

Specialization
Autonomous Agents
Primary Stack
Python · FastAPI
AI Platform
AWS Bedrock
Location
Islamabad, PK
02 / experience

Professional Journey

AI Engineer Consultant
Airec
Nov 2025 – Present Remote · Part-time
  • Designed and implemented advanced ML models, custom APIs, and prompt engineering/fine-tuning aligned to business goals.
  • Optimized AI systems for high performance with minimal latency, ensuring scalability for hundreds of concurrent users.
  • Managed full lifecycle of AI features — from initial design and testing to production deployment.
  • Created comprehensive technical documentation and collaborated with cross-functional teams.
ML ModelsPrompt Engineering API DevelopmentFine-tuningSystem Optimization
AI Engineer
Vizz Web Solutions
Dec 2023 – Present Islamabad, PK
  • Developed smart agentic systems using open-source and closed-source LLMs to handle complex workflows and make autonomous decisions.
  • Identified real business challenges clients faced and engineered AI/ML solutions to solve them.
  • Built and shipped AI models to production using FastAPI and microservices, ensuring cloud scalability.
  • Handled data pipelines — collecting, cleaning, and preprocessing structured and unstructured data.
AWS BedrockAgentCoreLLMs FastAPIMicroservicesRAG
Data Science & Analytics Intern
The Sparks Foundation
Aug 2023 – Oct 2023 Remote
  • Performed exploratory data analysis (EDA) to find trends, patterns, and anomalies in data.
  • Conducted predictive modeling and trend analysis to support data-driven decisions.
  • Built, trained, and tuned supervised/unsupervised ML models using Python and Scikit-learn.
PythonEDAScikit-learnPredictive Modeling
03 / projects

Selected Work

airec/main.py
AIREC AI Recruitment

AI-powered recruitment & assessment platform. Automates hiring from candidate sourcing, CV screening, and automated interviews to soft skills evaluation — saving 70% of HR costs.

PythonFastAPILLMsMongoDB
hibff/avatar.py
HiBFF Digital Human

AI-driven digital human platform with persona-based avatars powered by OpenAI. Integrated D-ID for realistic video avatar generation with emotional & behavioral context tailoring.

FastAPIOpenAI APID-IDMongoDB
health_app/api.py
AI Health App Health Tech

Meal planning, workout generation, sleep tracking and hydration analysis with community features. Integrated AI for barcode lookups, nutrition analysis, and image interpretation.

PythonFastAPIMongoDBRedisCelery
gymai/trainer.py
GymAI Fitness AI

AI-crafted training programs tailored to goals, fitness level, and available equipment. Intelligent algorithms automatically adapt plans based on performance, recovery, and progress.

PythonLLMsFastAPI
bizai/agent.py
BizAI Business AI

Generate responsive websites from a description with no coding required. AI agents that build apps, websites, and workflows. Automates repetitive business tasks with adaptive intelligence.

PythonFastAPIMongoDBAI Agents
fyp/stylegan_train.py
Car Facelift GenAI FYP · GenAI

Final Year Project using generative networks to create realistic, diverse car facelift designs. Built a custom car front design dataset and trained StyleGAN2-ADA from scratch.

PythonPyTorchStyleGAN2-ADACustom Dataset
04 / skills

Technical Stack

Languages & Frameworks
PythonFastAPIDjangoCelery
GenAI & LLMs
AWS BedrockAgentCoreLangChainRAG PipelinesOpenAI AgentsHugging FaceLlamaIndex
AI / ML Core
PyTorchTensorFlowScikit-learnGenerative AI
Databases
MongoDBPostgreSQLMySQLRedis
Vector Databases
PineconeChromaDBMilvus
Deployment & Ops
DockerGitRunPodAWS
05 / education

Credentials

// degree
Bachelor of Science in Computer Science
University of Loralai (UOLI)
Balochistan, Pakistan · 2023
Relevant Courses
Artificial Intelligence Machine Learning Deep Learning Computer Vision
// certifications
  • Supervised Machine Learning: Regression & Classification
    Coursera
  • Generative AIs, LLMs, and ML
    Abacus.AI
  • Become A Certified Python Programmer
    Udemy
  • Intro to Coding in Python
    One Month
06 / contact

Let's Build Something
Remarkable

Have a project in mind or want to discuss AI solutions? I'm always open to new opportunities and interesting conversations.