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Schedule Interview NowMy name is Mehwish Z. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Database, SQL, MySQL, Web Development, Machine Learning, etc.. I hold a degree in Master of Computer Science (MSCS). Some of the notable projects I've worked on include: Deep Attentive Time Warping for IMU Time-Series Matching (DTW vs DATW), Semantic Natural Language Search for Mental Health Resources, RingCentral Call Data Analysis & Communication Insights, Sales Specialist LLM — Distillation & Fine-Tuning Pipeline, Top 100 U.S. Metropolitan Areas – Census ACS Housing Analysis, etc.. I am based in Gujrat, Pakistan. I've successfully completed 27 projects while developing at Softaims.
I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.
At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.
My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.
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Built a research-style Deep Attentive Time Warping (DATW) system in Python to improve classical DTW-based time-series matching on IMU sensor data. The project includes: - Multichannel DTW baseline fo
A semantic NLP search system that understands emotional, natural-language queries and retrieves relevant mental health resources using transformer embeddings and vector similarity search Problem Stat
Performed a comprehensive analysis of RingCentral-style call log data to extract actionable insights and improve communication strategy. This project focused on identifying call trends, key telecommun
I designed and implemented an end-to-end Large Language Model (LLM) distillation pipeline to build a compact Sales Specialist AI optimized for objection handling, conversion-focused dialogue, and prod
This project analyzes U.S. Census American Community Survey (ACS) 5-Year housing data to identify the top 100 U.S. metropolitan areas by total housing units. The analysis includes a detailed breakdow
Master of Computer Science (MSCS) in