JaiJayesh Shah

Problem

Job seekers struggle to tailor their resumes for specific job descriptions, often resulting in rejection by automated ATS filters.

Outcome

Developed a tool that provides actionable feedback and keyword optimization suggestions, increasing the likelihood of passing initial resume screenings.

Problem

Manual organization of job applications and recruiting emails is time-consuming and lacks visibility across pipelines.

Outcome

Automated status tracking and progress visualization, reducing manual effort and improving visibility across applications via email ingestion and pre-filtering.

Problem

LLM inference delays the HTTP request-response cycle, causing poor user experience due to slow time-to-first-token.

Outcome

Decoupled LLM inference from HTTP requests, reducing time-to-first-token from ~5s to <100ms. Enabled single-command reproducible deployments.

Problem

Health-tracking experiences often split task scheduling, outcome capture, secure storage, and patient feedback into disconnected systems.

Outcome

Built an integrated iOS and backend workflow with structured persistence and visualization loops that improved engagement by 25%.

Problem

Architecture decisions are often discussed qualitatively, but meaningful tradeoffs show up only when you simulate performance under changing constraints.

Outcome

Benchmarked architectural modifications and compared how different hardware choices changed performance across workloads.

Problem

Pipeline correctness depends on handling dependencies, hazards, and control flow without sacrificing throughput or observability.

Outcome

Implemented a working pipelined design with forwarding and hazard mitigation, then validated behavior through testbench-driven simulation.

Problem

Manual access validation and occupancy control are slow, error-prone, and hard to scale during compliance-heavy situations.

Outcome

Created a low-latency verification pipeline with automated identity validation and monitoring workflows for operational decision making.

Problem

Edge-device systems become fragile quickly when messaging, telemetry, device coordination, and UI updates are designed independently.

Outcome

Designed an event-driven architecture that supported live telemetry, automation workflows, and real-time interface updates across connected devices.

Problem

Teams and individuals waste time when repetitive form entry, legacy data extraction, and validation work remain fully manual.

Outcome

Built automation tools that dramatically reduced repetitive effort, including one form-submission workflow that cut time by 98%.