Greater Philadelphia
I want to design hardware that matters; systems that measure something real, react fast, and don't fail when people depend on them. I'm an Electrical & Computer Engineering graduate from Drexel University with hands-on experience in embedded systems (ESP32, I²C/SPI, Embedded C FSM), analog front-end design (AD8232 ECG characterization), power electronics (DC-DC buck rails), and 15 months of MEP electrical consulting (BALA, Princeton, Loring). My senior design (V.I.T.A.L.S.) brings all of it together in a wearable driver-safety system. Long-term, I want to work at the intersection of wearable sensors, power electronics, and the embedded software that ties them together in industries where the work has direct human impact: medical devices, mobility, energy infrastructure, AI compute.
• Designed and implemented a hardware test system for an ESP32-based mixed-signal embedded platform; validated signal integrity and timer-based sampling at 50–100 ms across 10 bench sessions. • Authored a test plan covering 18 test scenarios with explicit pass/fail criteria, validating BLE telemetry and PWM + MOSFET actuator control under transient and sustained fault conditions. • Characterized the AD8232 ECG analog front-end; designed 12 V → 5 V / 3.3 V DC–DC buck converter rails; built a multi-sensor acquisition pipeline with Python-driven log parsing for test data interpretation. • Performed root-cause analysis on FSM false-trigger failures via waveform analysis, reducing false-trigger rate by 30% across 15 corner cases; documented test procedures, results, and analysis for advisor and committee review.
• Developed and validated machine‐learning pipelines for taxonomic classification and functional profiling of complex microbiome samples, leveraging both supervised classifiers and unsupervised clustering to reveal community structure. • Applied transformer‐based LLMs to automate annotation of metagenomic contigs, extracting gene functions and predicting metabolic pathways from raw sequencing reads. • Curated and preprocessed multi‐omic datasets (16S rRNA, shotgun metagenomes, and associated metadata), implementing quality‐control, normalization, and feature‐selection steps in Python to ensure robust model training. • Integrated evolutionary and chemotaxis signals into predictive models, using sequence‐based embeddings and graph‐based representations to capture prokaryotic interaction networks. • Collaborated on data‐gathering workflows, designing custom scripts to pull public microbiome repositories (e.g., MG-RAST, EBI) and assembling a standardized, scalable data lake for downstream analysis.
• Performed load calculations and short-circuit/coordination analysis across 7 electrical packages on feeder, transformer, and panel layouts; reduced rework cycles by 15%. • Surfaced 18% more capacity and coordination issues earlier via structured peer reviews against load assumptions. and protection coordination constraints. • Resolved 12 electrical-mechanical interface conflicts spanning power distribution routing, controls integration, and equipment clearance across 3 disciplines.
• Translated power system requirements, sequencing, and outage constraints into executable plans coordinated across 5 cross-functional teams (design, operations, facilities). • Audited power distribution systems (feeders, transformers, panels) and validated metering and alarm signal integrity before 6 electrical transitions, preventing 3 unplanned outages. • Verified post-switchover equipment operation across 4 building systems by monitoring sensor feedback and transient response, applying controls fundamentals to confirm stable steady-state behavior.
• Produced and revised AutoCAD/Revit electrical plans across SD/DD/CD phases through 15 revision cycles, increasing drawing turnaround by 20%. • Identified 10 routing conflicts and code-driven constraints through 5 on-site evaluations; translated field observations into corrected design updates through client-facing review cycles. • Authored 8 single-line diagrams and panel schedules, accelerating architect approvals and improving cross-discipline coordination by 16%.