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Designs and builds ELT pipelines with Oracle Data Integrator to load and transform data into secure on-prem data warehouses and lakes while enforcing encryption and access controls.
Designs and optimizes data platforms, builds scalable APIs, and develops full-stack apps using C#/.NET and Angular with Postgres.
Build and maintain mobile apps for clients’ digital transformation, collaborating with cross-functional teams to deliver secure, scalable iOS/Android solutions using modern stacks like Swift, Kotlin, Flutter, or React Native.
Part-time role maintaining and securing company databases, troubleshooting issues, and supporting users with SQL and backup procedures.
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
Lead a team to design and optimize data platforms using AWS, Redshift, Oracle, and PostgreSQL, while mentoring engineers and overseeing data migration projects.
Build AI-powered apps using Anthropic’s Claude API, integrating LLM workflows, prompt design, and tool use into scalable full-stack systems with React, Next.js, Node.js/Python, and vector databases.
Build full-stack web apps with React/Next.js and Node.js/PHP, integrating Anthropic’s Claude API to create AI-powered features like agents, RAG, and streaming responses.
Builds and maintains Azure data pipelines with Data Factory, models data in Synapse Analytics, and creates interactive Power BI reports for business insights.
Maintains and secures company databases, designs new systems, and troubleshoots issues in Faisalabad.
Part-time back-end developer building and maintaining server-side components for web apps using Java, Python, or Ruby on Rails, with database and cloud platform experience.
Lead end-to-end training of large language models using domain-adaptive pretraining, fine-tuning, and reinforcement learning, while building robust data and evaluation pipelines for intelligent agent systems.
Lead the design and optimization of scalable data platforms using AWS, Redshift, Oracle, and PostgreSQL, while mentoring engineers and architecting enterprise data pipelines.
Builds and scales cloud infrastructure for AI training data pipelines, including web scraping of audio content and automation scripts in Python/Bash.
Build and maintain AI-driven test automation frameworks for mobile apps, using ML to predict defects and self-heal scripts while integrating with CI/CD pipelines.
Manages and optimizes databases, ensuring security, performance, and integrity while handling backups and troubleshooting issues.
Lead a team to design, build, and maintain scalable data pipelines and warehouses, ensuring reliable analytics and ML-ready datasets using SQL, Python, and cloud tools.
Build and deploy AI-powered insurance workflows using LLMs and agent-based automation to process submissions, policies, and client communications.
Build and deploy multi-agent AI systems using LLM APIs (Bedrock, OpenAI, Mistral), LangGraph/LangChain, and AWS serverless tools; focus on execution, not design.
Build and deploy LLM/NLP models using Hugging Face, LangChain, and cloud AI services; implement RAG pipelines and vector search for AI-driven chatbots and Q&A systems.
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