AI Engineer with 4+ years in Machine Learning & Deep Learning
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Assessing your cultural and operational fit
AI/ML Engineer with 4.2 years of experience in building and deploying machine learning, deep learning, and computer vision projects. Skilled in developing intelligent systems using advanced NLP, LLM applications, AI Automation, and RAG. Proficient in Python and a wide array of AI/ML frameworks, with expertise in MLOps practices for scalable AI solutions.
Comsats University Islamabad
Bachelor of Science (BS) · Electrical Electronics Engineering
January 1, 2018 – January 1, 2022
Prismatic Technologies Limited
AI/ML Engineer
January 1, 2025 – Present
India
P-TechFusion (ProgrammX)
AI/ML Engineer
July 1, 2023 – January 1, 2025
India
Upwork
AI/ML Engineer
April 1, 2022 – July 1, 2023
India
RAG-based Email Automation System
April 1, 2022 – June 1, 2026
Developed a RAG-based Email Automation System using FAISS, LangChain, and Groq API for intelligent client communication.
Multilingual AI Voice Bot with Wav2Lip
April 1, 2022 – June 1, 2026
Developed a Multilingual AI Voice Bot with Wav2Lip for lip-synced avatar-based speech generation.
AI Voice Assistant (Verbi)
April 1, 2022 – June 1, 2026
Created an AI Voice Assistant (Verbi) integrating speech-to-text, LLM response generation, and text-to-speech.
LangGraph-based AI Agents for multi-step workflow automation
April 1, 2022 – June 1, 2026
Designed LangGraph-based AI Agents for multi-step workflow automation and contextual reasoning.
Custom LLM Chatbot with memory and document retrieval
April 1, 2022 – June 1, 2026
Built a Custom LLM Chatbot with memory and document retrieval using FastAPI and llama-cpp-python.
Machine Learning Specialization
DeepLearning.AI
June 1, 2026 – Present
AI Engineer MLOps Track: Deploy Gen AI & Agentic AI at Scale
Udemy
June 1, 2026 – Present
AI For Everyone
DeepLearning.AI
June 1, 2026 – Present
Mathematics for Machine Learning and Data Science
Unknown
June 1, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 1, 2026 – Present
Natural Language Processing Specialization
DeepLearning.AI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans freelance work and full-time roles, demonstrating adaptability. The projects are diverse, covering RAG, voice bots, and workflow automation, which aligns well with the dynamic nature of an AI Engineer role. The continuous pursuit of certifications from DeepLearning.AI and Udemy indicates a proactive learning attitude and commitment to staying current with industry trends, which is a positive cultural fit for an innovative environment. However, the experience is heavily focused on personal projects and recent roles, which might suggest a need for more exposure to larger team environments and corporate structures.
Soft Skills & Operational Fit
The candidate's resume indicates a strong focus on technical development and problem-solving within AI/ML. The project descriptions suggest an ability to work independently on complex tasks. However, without specific assessment data on communication, teamwork, or stress handling, it is difficult to fully assess soft skills and operational fit. The descriptions are clear and concise, indicating good written communication.