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AI Engineer with 3+ years in Machine Learning & Fullstack Development
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A highly motivated Software Engineer specializing in AI/ML and full-stack development, Ayesha Inam brings over 3 years of combined experience across various tech roles. She has a proven track record in developing AI chatbots, optimizing ML models, and building responsive web platforms. Her expertise spans Python, TensorFlow, PyTorch, RAG, LLMs, MERN stack, and cloud technologies, enabling her to deliver data-driven solutions and enhance digital workflows.
National University of Sciences and Technology (NUST)
Bachelors of Engineering · Software Engineering
August 1, 2020 – June 30, 2024
Malik & Asociates LLC
Legal-Tech Professional
June 1, 2025 – Present
India
CareCloud
AI Engineer
August 1, 2024 – June 1, 2025
India
Mari Petroleum Company Limited(MPCL)
IT & Corporate Affairs Intern
July 1, 2023 – August 1, 2023
India
IVY Technology
Part-Time ML Engineer
June 1, 2023 – March 1, 2025
India
Optical Network Technologies Lab
Research Intern
June 1, 2023 – August 1, 2023
India
Freelance
AI & Software Developer
January 1, 2022 – December 31, 2024
India
AirAI: Using AI to Monitor Air Quality
June 1, 2026 – Present
Built a MERN-based platform with a Tableau dashboard for real-time air quality insights, automating data processing with AWS and developing an LSTM model for forecasting.
VT Performance
June 1, 2026 – Present
Created a crypto-based competition platform using MERN, MetaMask, and Mailgun for seamless transactions and notifications.
Disease Detection Using ML
June 1, 2026 – Present
Used clustering/PCA/feature selection to preprocess data, then trained an ML model that achieved 99% accuracy a record for the dataset.
Medical Coding Assistant with AI Model Integration
June 1, 2026 – Present
Automated medical coding by fine-tuning Gemini AI with RAG + Grounding, optimizing ICD/CPT code extraction from clinical notes.
AI Legal Research Assistant (RAG + LLM Chatbot)
June 1, 2026 – Present
Built a legal research chatbot using RAG with Llama-3.1 and FAISS, enabling case-law search, document retrieval, and automated legal summaries.
Machine Learning Specialization
deeplearning.ai
June 1, 2026 – Present
Deep Learning Specialization
deeplearning.ai
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including legal-tech, medical coding, and air quality monitoring, shows a broad interest in applying AI across different domains. The experience in both corporate and freelance settings, along with internships, suggests adaptability to various work environments. The focus on practical application of AI aligns well with an innovative and results-oriented culture. The candidate's recent graduation and ongoing certifications indicate a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate's project descriptions and experience indicate a proactive approach to problem-solving and a strong drive to apply AI/ML solutions to real-world problems. The freelance experience suggests self-motivation and client management skills. The diverse project portfolio demonstrates adaptability and a willingness to tackle various technical challenges.