Safwa Mohammed Abdul Jabbar profile photo 1 on Tal

Safwa Mohammed Abdul Jabbar

AI Automation Engineer | AI | ML | Data Science | Minor in AI at IIT-Ropar

India

2+ years of work experience

Perfect Vision
Jul 20262 mosPresent

Dammam

AI Automation Engineer dedicated to bridging the gap between cutting-edge Artificial Intelligence and operational efficiency. I specialize in building autonomous AI sales calling systems, advanced prompt engineering for enterprise applications, and automating complex business workflows. By seamlessly integrating LLMs with modern CRM systems and automation tools, I design scalable infrastructure that drives revenue, minimizes manual overhead, and optimizes end-to-end business processes.
FlyRank AI
Jun 20263 mosPresent

Hyderabad

Currently interning at FlyRank AI as an AI intern, focusing on Backend AI Engineering.
U: The Mind Company
Sep 20242 yrsPresent

-Developed an end-to-end EEG analysis pipeline for preprocessing and analyzing EEG signals, including artifact removal. Extracted key features to uncover neurological patterns, detect seizure onsets, and support clinical diagnostics. -Built a prompt-engineered script to interpret EEG data and automatically generate comprehensive, human-readable EEG reports by incorporating domain-specific medical context and terminology. -Enhanced and customized MediaPipe and YOLO models to improve accuracy in hand landmark detection, supporting automated tremor assessment and Parkinson’s disease detection from video data. -Designed and implemented a tremor data analysis pipeline, applying advanced preprocessing techniques to reduce noise. Analyzed tremor amplitude and Power Spectral Density (PSD) to quantify movement disorder severity and evaluate treatment effectiveness. -Performed comprehensive feature extraction and statistical analysis on EEG and tremor data, capturing frequency domain dynamics and temporal patterns to inform clinical decision-making and research studies. -Collaborated closely with neurologists and healthcare professionals to validate analysis pipelines and ML models, ensuring outputs are clinically relevant, interpretable, and applicable to real-world healthcare scenarios. - Designed and developed an AI-powered research peer review system that automatically evaluates academic papers across multiple dimensions including novelty, methodology, clarity, citation quality, ethics, and completeness. -Built an automated LLM-based review pipeline capable of generating structured reviewer reports, scoring papers, and producing recommendation decisions similar to academic conference review formats. -Integrated research knowledge sources and NLP techniques to support literature comparison and novelty detection. -Built an automated pipeline to analyze research documents and generate structured patent-style document
U: The Mind Company
May 20251 yr 3 mosJul 2026

United States

DREaD Co-Innovation Network Foundation
Aug 20241 yr 6 mosJan 2026

India

Disruptive Research Engineering Assisted Design Private Limited
Aug 202410 mosMay 2025

India

Safwa’s AI Stack

antigravity
antigravity
codex
codex
opencode
opencode

Education

Indian Institute of Technology, Ropar

Minor, Artificial Intelligence

Indian Institute of Technology, Ropar

20241 yr2025
Osmania University

Bachelor of Engineering - BE, Computer Science

Osmania University

20194 yrs2023

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Headline

AI Automation Engineer | AI | ML | Data Science | Minor in AI at IIT-Ropar

About

Data Science and Machine Learning Engineer with experience building applied AI systems for healthcare and research. Strong focus on EEG signal analysis, computer vision, time series modeling, and ML driven clinical insights. Skilled in designing end to end pipelines for biomedical data processing, feature extraction, model development, and result interpretation. Hands on experience with deep learning, LLM based report generation, seizure detection research, and movement analysis for neurological conditions. Technical expertise includes Python, PyTorch, TensorFlow, scikit learn, OpenCV, MediaPipe, YOLO, Pandas, NumPy, and MNE. Experienced in computer vision, NLP, transformers, LSTM models, and statistical data analysis. Interested in privacy aware AI, secure ML systems for healthcare, and translating complex models into interpretable, real world solutions.

Location

India

AI stack

antigravity

codex

opencode

Work experience

Artificial Intelligence Engineer at Perfect Vision, Jul 2026 - Present · 2 mos, Dammam, AI Automation Engineer dedicated to bridging the gap between cutting-edge Artificial Intelligence and operational efficiency. I specialize in building autonomous AI sales calling systems, advanced prompt engineering for enterprise applications, and automating complex business workflows. By seamlessly integrating LLMs with modern CRM systems and automation tools, I design scalable infrastructure that drives revenue, minimizes manual overhead, and optimizes end-to-end business processes.

Backend AI Engineering Intern at FlyRank AI, Jun 2026 - Present · 3 mos, Hyderabad, Currently interning at FlyRank AI as an AI intern, focusing on Backend AI Engineering.

Software Engineer at U: The Mind Company, Sep 2024 - Present · 2 yrs, -Developed an end-to-end EEG analysis pipeline for preprocessing and analyzing EEG signals, including artifact removal. Extracted key features to uncover neurological patterns, detect seizure onsets, and support clinical diagnostics. -Built a prompt-engineered script to interpret EEG data and automatically generate comprehensive, human-readable EEG reports by incorporating domain-specific medical context and terminology. -Enhanced and customized MediaPipe and YOLO models to improve accuracy in hand landmark detection, supporting automated tremor assessment and Parkinson’s disease detection from video data. -Designed and implemented a tremor data analysis pipeline, applying advanced preprocessing techniques to reduce noise. Analyzed tremor amplitude and Power Spectral Density (PSD) to quantify movement disorder severity and evaluate treatment effectiveness. -Performed comprehensive feature extraction and statistical analysis on EEG and tremor data, capturing frequency domain dynamics and temporal patterns to inform clinical decision-making and research studies. -Collaborated closely with neurologists and healthcare professionals to validate analysis pipelines and ML models, ensuring outputs are clinically relevant, interpretable, and applicable to real-world healthcare scenarios. - Designed and developed an AI-powered research peer review system that automatically evaluates academic papers across multiple dimensions including novelty, methodology, clarity, citation quality, ethics, and completeness. -Built an automated LLM-based review pipeline capable of generating structured reviewer reports, scoring papers, and producing recommendation decisions similar to academic conference review formats. -Integrated research knowledge sources and NLP techniques to support literature comparison and novelty detection. -Built an automated pipeline to analyze research documents and generate structured patent-style document

Engineering Team Lead at U: The Mind Company, May 2025 - Jul 2026 · 1 yr 3 mos, United States

Data Science Scholar at DREaD Co-Innovation Network Foundation, Aug 2024 - Jan 2026 · 1 yr 6 mos, India

NeuroTech Intern at Disruptive Research Engineering Assisted Design Private Limited, Aug 2024 - May 2025 · 10 mos, India

Education

Minor, Artificial Intelligence, Indian Institute of Technology, Ropar

Bachelor of Engineering - BE, Computer Science, Osmania University