Data Engineer - Neural Engineering & Bioinformatics Specialist

JASPREET SINGH (U.S CITIZEN)

610-***-**** ***********@*****.*** linkedin.com/in/jaspreetsingh2022/ jaspreetsingh.org

EDUCATION

University of Pittsburgh, Pittsburgh, Pennsylvania

Master of Science, Bioengineering, Cumulative GPA: 3.84 December 2024

Neural Engineering Track with concentrations in Brain-Computer Interfaces & Medical Devices

Bachelor of Science, Neuroscience, Cumulative GPA: 3.30, Cum Laude Honors April 2022

Minors in Chemistry & Theatre with a Certificate in Conceptual Foundations of Medicine

RELEVANT SKILLS

Programming & Data Engineering: Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch), SQL (BigQuery, MySQL), Dataform, Git/GitHub, Docker, Google Cloud Platform,MATLAB/Simulink, Power BI, Microsoft Office Suite, CNNs (ResNet, U-Net, Attention U-Net), SNNs (Intel Loihi/Lava), ANN, computer vision (OpenCV, scikit-image), RAG, Langchain

Research & Scientific Communication: IRB protocol development, grant management platforms, data analytics, scientific writing & presentations, project management

RELEVANT EXPERIENCE

Onyx Data Engineering Intern, GSK (Formerly GlaxoSmithKline via Atrium) June 2025 - August 2025

●Engineered GCP data pipelines using Python, SQL, BigQuery, Cloud Monitoring APIs, and Dataform to monitor and validate 128+ R&D NextGenerationSequencing team pipelines and proactively identify pipeline failure points, boosting root cause resolution time.

●Developed several interactive Power BI dashboards connected to BigQuery tables and datasets, reducing executive leadership burden by improving the time to insight of several key performance indicators (KPIs) and SLA metrics from 3 days to near real-time.

●Presented insights and dashboards to 100+ technical and non-technical individuals at GSK.

●Collaborated with senior developers and engineers to better understand data workflows.

●Served as rotating Scrum Master, leading SAFe Agile standups on both daily developer progress/blockers and sprint retrospectives.

Graduate Student Researcher IV, Rehab Neural Engineering Laboratory October 2024 - May 2025

●Designed and implemented Simulink and Stateflow based code for a KINARM robotic exoskeleton to evaluate human sensorimotor behavior including collision detection and reach-to-target task paradigms.

●Independently developed adaptive task logic that dynamically modified goals, targets, and barrier interactions based on real-time kinematic inputs (hand velocity, direction, and precision), enabling robust evaluation of participant responses.

●Authored and deployed standardized operating procedures (SOPs) for system setup, debugging, and experimental trial design, reducing onboarding and troubleshooting time by several days and improving reproducibility across studies.

●Applied data analysis and exploratory machine learning techniques to multimodal EEG and behavioral datasets to assess system performance and participant response patterns.

●Collaborated with PI (Dr. Brian Dekleva, Phd) and clinical research staff to support IRB protocol updates, study documentation, and development of participant recruitment materials for human-subjects research.

HIGHLIGHTED PROJECTS

Deep Learning Engineer for Segmentation of Hippocampus September 2024 - December 2024

●Unpaid, part-time project: 0 - 50 hours/week

●Designed, trained, and optimized convolutional neural networks (CNNs) including ResNet-18 and Attention U-Net thus advancing research and clinical applications, effectively isolating hippocampal structures from extraneous tissue.

●Implemented U-Net, ResNet-18, NN-UNet, multimodal fusion (T1+T2); evaluated with Dice, Jaccard, HD95; showed stable convergence in ~20 epochs.

Neural Engineer for Spiking Neural Network for Keyword Spotting January 2024 - May 2024

●Unpaid, part-time project: 0 - 50 hours/week

●Developed and trained a Spiking Neural Network (SNN) for a novel application of keyword spotting on Intel’s Loihi platform, leveraging a bio-inspired Leaky Integrate-and-Fire neuron algorithm to mimic biological neural behavior.

●Trained a SNN model to achieve 84% accuracy therefore advancing computationally efficient keyword spotting.

Jeep Wrangler Sales Forecasting (Regression Modeling) April 2024

●Unpaid, part-time project: 2 hours

●Collected and preprocessed automotive sales data, engineered features (seasonality, economic indicators), and applied logistic/ridge regression models in Python to forecast Jeep Wrangler sales.

●Improved prediction accuracy over baseline benchmarks and visualized results in Matplotlib/Seaborn.

LEADERSHIP EXPERIENCE

Changemaker Scholar, Big Idea Center, University of Pittsburgh December 2024

●Unpaid, part-time experience: 0 - 5 hours/week

●Selected as one of two students awarded full Scholar status in a competitive, cohort-based innovation and leadership program focused on interdisciplinary problem-solving, emerging technologies evaluation, and translating complex ideas into real-world impact.

Master Student Liaison, Biomedical Engineering Society (BMES) September 2023 - November 2024

●Unpaid, part-time experience: 0-5 hours/week

●Facilitated communication between graduate student cohort and executive board; created professional and social opportunities for Masters and PhD students; represented department at BMES at national conferences and networked with dozens of prospective students.

Outreach Chair & Writer, Pre-health Spotlight October 2019 - July 2022

●Unpaid, part-time experience: 1-8 hours/week

●Built partnerships with Princeton Review and medical schools to host MCAT/GRE workshops and information sessions with 50+ attendees.

●Produced podcasts and published articles on healthcare topics; increased social media engagement through strategic collaborations.

Undergraduate Teaching Assistant, University of Pittsburgh Fall 2019, Summer 2020, Spring 2022

●Unpaid: 1-5 hours/week

●Created quiz and test questions and conducted exam review sessions for Dr. Lisa McIlvried, PhD and Debra Artim, PhD and Dr. Hanna Salman, PhD for courses Physics II (PHYS 0111) and NROSCI 0080.

●Facilitated class discussions, attended lectures, and mentored small groups of students on worksheet questions and assignments and taught students on a one-on-one basis.

Peer Tutor, Study Lab of Dietrich School of Arts and Sciences, University of Pittsburgh Spring 2022

●Paid: 4-10 hours/week

●Tutored students in groups and on a one-on-one basis in Neuroscience, Organic Chemistry I, Physics I and Physics II for the University of Pittsburgh School of Dietrich Arts and Sciences.

ADDITIONAL EXPERIENCE

Research Associate, UPMC Late Life Suicide Lab September 2022 - July 2023

●Conducted high-stakes clinical interviews with older adults experiencing severe depression, suicidality, and psychiatric crises in both outpatient clinics and inpatient psychiatric units.

●Gathered deeply sensitive personal, medical, and psychological information which was documented precisely, structured clinical summaries used by psychiatrists and multidisciplinary care teams.

●Performed neurocognitive assessments and documented results with rigor, accuracy, and consistency across longitudinal visits.

●Managed recruitment, scheduling, and IRB amendments and NIH RPPR updates while collaborating with clinicians, nurses, and social workers, and research staff.

Nursing Assistant & Patient Care Technician, UPMC Saint Margaret’s May 2022 - July 2023

●Example responsibilities: monitoring vital signs, glucose/urine tests, bladder scanning, facilitating patient transport or movement, assisting with daily living activities, and collaborating with a healthcare team to ensure optimal patient outcomes.

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