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Machine Learning Engineer with 4+ years in AI, NLP & Large Language Models
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Assessing your cultural and operational fit
Experienced Machine Learning Engineer with 4.4 years of expertise in developing and deploying advanced AI solutions, including conversational chatbots and automated microservices. Proficient in Python, FastAPI, and various NLP frameworks like Langchain, GPT, and WhisperAI. Proven ability to drive innovation, enhance data privacy, and streamline workflows by leveraging state-of-the-art machine learning models for text analysis, classification, and generation. Successfully integrated AI orchestration into scalable microservices and contributed to significant reductions in manual effort and time for complex documentation processes.
Fast-NUCES Faisalabad
Bachelors · Computer Science
August 1, 2019 – June 30, 2023
Beaconhouse Faislabad
A/O levels
June 1, 2015 – May 31, 2019
Generative Artificial Intelligence-Ccript Agency
Generative Artificial Intelligence-Ccript Agency
March 1, 2024 – Present
India
Rapidev
Machine Learning Engineer
July 1, 2023 – July 1, 2025
India
ChatGPT Prompt Engineering for Developers
OpenAI
June 1, 2026 – Present
LangChain for LLM Application Development
LangChain
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has experience across two companies, with a strong focus on AI/ML development. The projects demonstrate a breadth of application areas, from educational chatbots to patent generation and military applications, suggesting adaptability. The current role at 'Generative Artificial Intelligence-Ccript Agency' and previous role at 'Rapidev' align well with an innovative, fast-paced environment typical for Machine Learning Engineers. The certifications further indicate a proactive approach to learning and staying current with industry trends. However, the lack of diverse project types outside of LLM/NLP applications might indicate a narrower focus, which could be a factor depending on the team's needs.
Soft Skills & Operational Fit
The candidate's resume highlights a focus on developing scalable microservices and automating tasks, indicating a strong operational mindset. The impact statements suggest an understanding of business value and efficiency. However, without specific psychometric or English test results, it's difficult to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.