Talha Ahmad

Innovative Senior Machine Learning Engineer specializing in the design and implementation of end-to end AI systems. Proven track record in developing cutting-edge algorithms, predictive models, and automation workflows, optimizing platforms to enhance customer experience and drive business growth. Skilled in transforming complex requirements into scalable, production-ready solutions with expertise across Generative AI, NLP, Computer Vision, and MLOps.

Core Competencies

• Artificial Intelligence & Generative AI: LLMs, prompt engineering, fine-tuning, transfer learning, generative content creation (text, image, video).
• Natural Language Processing (NLP): Summarization, sentiment analysis, semantic search,

paraphrasing, entity recognition, topic modeling, question answering.

• Retrieval-Augmented Generation (RAG): Pipelines with FAISS, Qdrant, embeddings (Hugging Face, OpenAI), context-aware reasoning.
• Computer Vision: OCR, image recognition, object detection, video analysis, document intelligence.
• Machine Learning & Deep Learning: Model training, hyperparameter tuning, feature engineering, ensemble learning, supervised/unsupervised learning.
• MLOps & Deployment: CI/CD pipelines, Docker, AWS/GCP deployment, monitoring, lifecycle management.
• Integration & System Design: RESTful/async APIs, FastAPI, LangChain workflows, chatbot architectures, real-time inference systems.

WORK EXPERIENCE

Musketeers Tech Inc. – Remote, Pakistan

Machine Learning Engineer

[ 12/08/2022 – 19/03/2025 ]

• Spearheading development of Generative AI solutions including chatbots, resume analyzers, and AI-driven content engines.
• Designed and deployed Retrieval-Augmented Generation (RAG) pipelines leveraging LangChain, Hugging Face, Qdrant, and FAISS for document intelligence and chatbot systems.
• Implemented NLP workflows for summarization, entity recognition, sentiment analysis, and automated report generation.
• Automated end-to-end resume parsing, tailoring, and interview simulation systems, reducing manual screening by 60–70%.
• Built MLOps pipelines for scalable deployment using FastAPI, Docker, AWS, ensuring high availability and low-latency model inference.
• Collaborated across teams to deliver enterprise-grade AI integrations in WhatsApp, LinkedIn, and Upwork platforms, streamlining lead generation and customer engagement.
• Enhanced internal efficiency by building AI-powered automation systems (salary slip automation, database backup orchestration, QA chatbots).

Key Achievements

• Reduced manual HR screening and payroll processing by 70–80% through automation.
• Delivered 15+ production-ready AI/ML solutions across chatbots, automation, and NLP.
• Improved job-matching accuracy to 85% and boosted engagement rates 3x on client-facing platforms.

InoTech – Rawalpindi, Pakistan

Senior AI/ML Engineer

[ 04/2025 – Current ]

• Spearheaded end-to-end development of Generative AI and RAG-based chatbot systems for Internal Data and other confidential data repositories, ensuring secure data access, retrieval, and compliance with organizational policies.
• Designed and deployed Retrieval-Augmented Generation (RAG) pipelines using LangChain, Hugging Face, Qdrant, and FAISS, enabling context-aware conversational intelligence and document search across sensitive datasets.
• Developed secure NLP workflows for document summarization, entity recognition, and sentiment analysis, incorporating data protection and access control mechanisms.
• Integrated MISP (Malware Information Sharing Platform) with internal and external systems to facilitate automated threat intelligence sharing, incident detection, and response workflows.
• Implemented log management and monitoring services for proactive system health tracking, user activity analysis, and anomaly detection across AI and infrastructure components.
• Built and maintained MLOps pipelines leveraging FastAPI, Docker, and AWS to enable scalable, low-latency model deployment with CI/CD automation and observability features.
• Engineered end-to-end full stack AI solutions, integrating machine learning models with robust frontend and backend architectures, including RESTful APIs, vector databases, and modern web interfaces.

Key Achievements

• Delivered RAG-powered confidential chatbot solutions for Internal and confidential data with secure, role-based document retrieval.
• Integrated MISP into enterprise workflows, reducing security response times by 40% through automated intelligence sharing.
• Enhanced system reliability and visibility with centralized log management and real-time monitoring pipelines.

B.Sc. Computer Systems Engineering The Islamia University of Bahawalpur [ 01/10/2018 – 12/07/2022 ]

City: Bahawalpur | Country: Pakistan | Website: