Sohaib Asghar

Sohaib Asghar - |-| linkedin.com/in/sohaib-asghar-b8 Summary Highly motivated and results-oriented Lead Software Engineer with 8+ years of experience in building and deploying innovative solutions across diverse industries. Proven ability to leverage cutting-edge technologies (LLMs, Deep Learning, NLP) to improve data pipelines, enhance user engagement, and automate processes. Skilled in project management, data analysis, and leading cross-functional teams. Education University of Bradford Bachelor’s in Software Engineering Jan. 2010 – Dec 2014 Experience Senior AI/ML Engineer Oct 2023 – May 2024 Luminant Solutions Remote ∗ Increased data processing efficiency by 40% by developing a Python-based data pipeline utilizing Large Language Models (LLMs) for seamless integration between business analytics and company data. ∗ Enhanced user engagement by 20% by crafting a Generative AI solution using Python, resulting in improved customer satisfaction. ∗ Developed a high-impact AI Assistant mobile app using Python, LLMs, MySQL, and Vector DB, leading to a 20% rise in user engagement and productivity. Senior Software Engineer Mar 2017 – Sep 2023 Afiniti Istanbul, Turkey ∗ Led data transformation initiatives that increased data accuracy and report/dashboard performance by 30%, driving better business decisions. ∗ Developed and implemented data models and BI solutions that improved data accuracy and performance by 20%, leading to better decision-making for operational efficiency tools. ∗ Developed and implemented an automated AI platform (aiDetect) to analyze data, generate insights, and improve team productivity by 20%. ∗ Improved operational efficiency by 30% through the development of a comprehensive monitoring solution using OpenSource, Linux, SNMP, InfluxDB, and Grafana. Software Engineer June 2014 – Feb 2017 Expertflow Lahore, Pakistan ∗ Engineered a Media Routing Engine and a chat application for Cisco Finesse integration, boosting agent efficiency by 30%. ∗ Developed productivity gadgets that reduced daily task time by 15% per agent. Technical Skills Languages: Python, R, Java, TypeScript, JavaScript Machine Learning/Deep Learning: TensorFlow, scikit-learn, Keras, PyTorch, pandas, NumPy, Matplotlib, Beautiful Soup, Requests Large Language Models (LLM): LLM, OpenAI (models: gpt-4, gpt4-turbo, gpt-3.5, gpt-4o), Ollama, Llama3, Codestral, Mixtral, Phi3, Lava Multimodal LLM Image Generation: DALL-E, Midjourney, Stable Diffusion LLM Agent Frameworks: AutoGPT, AutoGen, CrewAI, Langchain Computer Vision: OpenCV Web Development: Django, Flask, FastAPI Databases: MySQL, PostgreSQL, MongoDB, Redis, AChroma, Faiss, Pinecone, Qdrant DevOps/Cloud: AWS (EC2, S3, RDS, EKS, ECS, Lambda), Azure, CI/CD (CircleCI, Jenkins, Github Actions, Gitlab CI, Docker), GCP (VM), Firebase (Auth, Firestore, Functions, Hosting), Git, GitHub Actions, Google Cloud (Hosting, DB, Functions), Kubernetes, Linux, Nginx Analytics Dashboards: Grafana, Grafana Alerting, Grafana Plugins, InfluxDB, PowerBI, Prometheus Additional Skills: API Design, Data Analysis, UI/UX Design, Project Management, Communication, Teamwork Projects aiDetect: Developed a real-time monitoring platform (aiDetect) that reduced SLA reaction time from 15 minutes to under 60 seconds, resulting in a 60% improvement in customer service efficiency. This project addressed slow response times impacting customer service. Afiniti Watch: Implemented a centralized monitoring system (Afiniti Watch) that improved operational efficiency by 20% and reduced annual maintenance costs by $20,000. This project streamlined operations and resource allocation. Smart Qualifier: Designed and implemented a service (Smart Qualifier) utilizing AI rule engines to filter and extract essential data, reducing millions of signals to a few hundred, streamlining data processing and analysis. This project reduced data processing overhead and enabled faster insights extraction