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Ayesha Shafique

@ayeshashafique

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Founding Engineer and AI Lead at Cognyzer, building AI delivery pipelines and leading engineering teams.

Pakistan

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At Cognyzer, I scope client ideas with the co-founder into technical proposals, AI/ML architecture, and delivery pipelines. I own technical decisions on model selection, RAG, agent design, and evaluation criteria.

At NorthBay Solutions, I built a transformer-supported benchmarking engine for LexisNexis Intelligize and engineered .NET Core REST APIs for alerts and workspaces. I also designed notification-management APIs and enhanced Solr searches across SEC filings.

At Turing's Frontier Research Lab, I led benchmark QA for Alibaba, Tencent AI Lab, Meta AI, and NVIDIA. I led an 8–10 engineer review pod, and validation checklists cut repeat QA issues by about 30%.

Across my AI, research, and backend work, I've delivered healthcare APIs and dashboards, medical-image tooling, and machine-learning projects. I also built 18 approved STEM RLHF notebooks with deterministic validators and leak controls.

Experience

Work history, roles, and key accomplishments

Current

Founding Engineer, AI Lead

Current

Cognyzer

Apr 2026 - Present (6 months)

Scopes client ideas into technical proposals and AI/ML architecture. Built and manages the engineering team, owning technical decisions on model selection, RAG, and agent design.

AI RAG Agent Design Model Selection Team Management Technical Architecture

Current

Founding Engineer, AI Lead

Current

Cognyzer

Apr 2026 - Present (6 months)

Scope incoming client ideas with the co-founder into technical proposals, AI/ML architecture and delivery pipelines. Built and manage the engineering team, owning technical decisions on model selection, RAG and agent design.

AI ML Architecture RAG Agent Design Team Management technical proposals

LLM Evaluation Engineer & QA Lead

Turing Frontier Research Lab

Sep 2025 - Sep 2026 (1 year)

Led benchmark QA for Alibaba, Tencent, Meta, and NVIDIA, covering SWE-bench, Terminal Bench, and OSWorld tasks. Built 18 STEM RLHF notebooks and scored 20,000+ Meta model responses.

LLM Evaluation Benchmarking QA Python BASH Docker Pytest RLHF STEM SWE Bench Terminal Bench OSWorld

LLM Evaluation Engineer & QA Lead

Turing Frontier Research Lab

Sep 2025 - Sep 2026 (1 year)

Benchmark QA for Alibaba, Tencent AI Lab, Meta AI and NVIDIA, including SWE-bench-family repository tasks, Terminal Bench shell tasks, and OSWorld desktop tasks. Led an 8–10 engineer review pod and QA for a 230+ contributor program.

LLM Evaluation Benchmarking Python BASH Docker Pytest QA SWE Bench Terminal Bench OSWorld

Software Engineer (.NET | Python | AI Integrations)

NorthBay Solutions

Sep 2024 - Aug 2026 (1 year 11 months)

Built AI document benchmarking engine and .NET Core REST APIs for alerts, workspaces, and push notifications. Automated Salesforce reconciliation cutting query time ~60% and enhanced Solr search for SEC filings.

C#.NET Core Entity Framework Python SQL Server Solr Salesforce API REST Power BI AI LLM Transformers Prompt Engineering

Software Engineer (.NET | Python | AI Integrations)

NorthBay Solutions

Sep 2024 - Aug 2026 (1 year 11 months)

Backend and AI-integrated services for Intelligize, a LexisNexis platform for legal document intelligence, SEC filing analytics, disclosure benchmarking, alerts, workspace management and enterprise search.

C#.NET Core Entity Framework Python SQL Server Solr Salesforce API REST Power BI

AI & Backend Engineer

Arbisoft

Jul 2024 - Aug 2024 (1 month)

Delivered a healthcare management system with predictive analytics on EHR data, including Node.js/Express APIs with RBAC, audit logging, and real-time notifications, plus Power BI risk-scoring dashboards.

NodeJS Express RBAC Audit Logging Power BI Healthcare Predictive Analytics

AI & Backend Engineer

Arbisoft

Jul 2024 - Aug 2024 (1 month)

Delivered a healthcare management system with predictive analytics on EHR data, including Node.js/Express APIs with RBAC, audit logging, and real-time notifications.

NodeJS Express RBAC Audit Logging Real time Notifications Power BI Healthcare Predictive Analytics

Freelance AI, Data Science & Backend Projects

Self-employed

Jan 2020 - Jun 2024 (4 years 5 months)

Delivered freelance projects including semantic segmentation for road detection and brain-tumour MRI localization, healthcare diagnostic-support models, image captioning, text-to-music seq2seq, and network intrusion detection.

U Net EfficientNet fastAPI .NET Python Image Captioning Seq2Seq Intrusion Detection Time series Forecasting

Freelance AI, Data Science & Backend Projects

Self-employed

Jan 2020 - Jun 2024 (4 years 5 months)

Delivered semantic segmentation models for road detection and brain-tumour MRI localization, healthcare diagnostic-support systems, and various AI models including image captioning and time-series forecasting.

U Net EfficientNet fastAPI .NET Python Semantic Segmentation Image Captioning Seq2Seq Time series Forecasting Intrusion Detection

AI Research Engineer

Al-Khwarizmi Institute of Computer Science (KICS), UET Lahor

Jan 2023 - May 2023 (4 months)

Conducted genetic biomarker discovery with Random Forest and SVM, identifying a 30-gene predictive panel for early-stage lung cancer. Built segmentation and annotation tooling that improved medical image labelling throughput by ~40%.

Random Forest SVM R Biomarker Discovery Medical Imaging Segmentation Annotations Urdu ASR

AI Research Engineer

Al-Khwarizmi Institute of Computer Science (KICS), UET Lahor

Jan 2023 - May 2023 (4 months)

Conducted genetic biomarker discovery using Random Forest and SVM, identifying a 30-gene predictive panel for early-stage lung cancer. Built segmentation and annotation tooling improving medical image labelling throughput ~40%.

Random Forest SVM R Biomarker Discovery Medical Imaging Segmentation Annotations Urdu ASR