Janani Manathattai

CareClaims Intake Gateway

CareClaims combines healthcare-claim intake, standards validation, correction guidance, and downstream regulatory processing in one product. I owned the intake gateway for X12 EDI and CMS-1500 submissions, adapting an open-source X12 foundation to client and payer requirements while reducing the active contributors needed for the workstream from four to two.

• Converted client needs into intake rules: met with the claims client to identify required fields, payer-specific 837 variations, acceptance criteria, and correction outputs, then translated those requirements into configurable validation behavior.
• Adapted the open-source X12 framework: evaluated available parsers, selected the strongest standards-aware foundation, and extended its segment mapping and validation logic around TR3 guidance so claims from different health insurers normalized into the same client workflow.
• Implemented the intake pipeline: built HTTP receipt, empty-payload rejection, EDI normalization, batch parsing, submission and claim-state persistence, configurable rule execution, and generation of X12 999 acknowledgments for 837 transactions.
• Made errors actionable: mapped IK3, IK4, CTX, IK5, and AK9 acknowledgment data into summaries that identify the failing segment, element, position, code, and correction context for healthcare facilities.
• Stabilized concurrent behavior: added automated tests for empty requests, rule toggling during active intake, acknowledgment defects, delimiter edge cases, and unknown dispositions so two contributors could maintain the workstream reliably.

Subscription & License Management Platform

I owned an internal subscription and license platform that replaced scattered records with searchable seat-level inventory, cost controls, approvals, and audit history. By exposing frozen, unwanted, unassigned, and otherwise unaccounted-for licenses, the product helped reduce unnecessary company software expenditure by 10% and gave executives clearer evidence for renewal decisions.

• Created the operating data model: designed PostgreSQL tables and REST APIs for vendors, products, subscriptions, individual seats, assignees, renewal dates, billing cycles, status changes, and immutable audit events.
• Reduced avoidable spend by 10%: implemented unassigned-seat tracking, frozen and non-billable states, expiration sorting, employee-level search, and renewal visibility so administrators could remove or reallocate licenses that were unwanted or no longer attributable to an employee.
• Built executive analytics: compared employee growth with license-expenditure growth, calculated cost per active seat and total product cost excluding frozen/non-billable licenses, ranked subscriptions by cost and utilization, and surfaced upcoming renewals to show which products delivered the most and least value.
• Connected ticketing to fulfillment: linked DevOps requests to eligibility checks, available-seat counts, approve/decline decisions, create-and-assign flows, decision messages, seat assignment, and independent ticket closure.
• Protected production workflows: added assignment row locking and 409 conflict handling, AES-256-GCM protection for PII, scheduled expiration notifications, integration tests, Docker services, and Azure deployment.

Automated Quality Sorting Manipulator

In a four-person team, I developed the mechanical and electromechanical architecture for a modular system that sorts accepted and defective components from a conveyor. My work covered subassembly interfaces, actuation and power requirements, material and process selection, tolerance targets, and performance calculations used to determine the next prototype iteration.

• Designed a 29-part assembly: integrated a belt conveyor, synchronized dual Y gantries, wheel-driven X translation, a 3-DOF articulated arm, and a motorized gripper into five independently testable subsystems in SolidWorks.
• Specified actuation and power: mapped motor and servo loads, AC-to-DC conversion, voltage regulation, axis-level control, and synchronization requirements needed to prevent dual-gantry skew and linear-guide binding.
• Defined manufacturable interfaces: selected 1060 aluminum for machined structural components, ABS for lower-mass printed parts, standard hardware where available, and ±0.002 inch tolerances at bearing, shaft, lead-screw, wheel, and pivot fits.
• Calculated the motion constraint: modeled 1,681 N axial thrust from a 2.5 N·m actuator but only 22.7% lead-screw efficiency and 1.94 mm/s traverse speed, identifying cycle time—not force capacity—as the primary design limitation.
• Specified physical validation: recommended a coarser or multi-start lead screw, followed by backlash, payload, positional accuracy, vibration, and coordinated-motion testing before integrating machine vision.

View the complete 86-page CAD and engineering report ↗

TSA TEAMS Engineering Proposals

Two competition essays developed as researched engineering proposals rather than physical prototypes. Each response translated an open-ended national prompt into a defined location, technical system, quantified cost and performance assumptions, hazards, constraints, and an implementation or validation plan.

Proposal 01 · Urban transportation2023 · Nationals qualifier

Increasing Los Angeles Bicycle Adoption

2023 competition prompt: develop an engineering proposal to increase the population of bicycle users in a selected city. Our seven-person team proposed a theoretical Los Angeles bike-share and safety system—not a built prototype—that placed third in California and qualified for nationals.

• Converted the prompt into requirements: evaluated Metro Bike adoption barriers across station density, cash access, checkout reliability, vehicle sizing, theft exposure, tire failures, route safety, and perceived convenience.
• Specified the service architecture: proposed QR unlocking, destination and docking guidance, mobile and cash-kiosk payments, two frame sizes, storage options, mileage incentives, and recyclable airless tire inserts.
• Analyzed hazards and failure modes: addressed flat tires, heat exposure, theft, unsafe intersections, vehicle conflicts, insufficient lane separation, and the operational consequences of unavailable docks.
• Modeled implementation cost: scoped 100 stations with 25 bicycles each, ten miles of protected high-traffic corridor, associated station/app/infrastructure costs, and a total estimated program cost of $14 million.
• Defined a validation plan: proposed a two-month ridership pilot with city data collection before permanent lane conversion, allowing adoption and safety results to determine whether the infrastructure should scale.

Read the full 2023 proposal ↗

Requirements analysisHazard analysisCost modelingPilot design

Proposal 02 · Climate-resilient infrastructure2025 · Nationals qualifier

Speyside Resort: Sustainable Caribbean Design

2025 competition prompt: design a sustainable resort in a tropical coastal location that could withstand extreme weather while using locally abundant natural resources. Our four-person team proposed a six-story resort in Speyside, Tobago that combines structural, environmental, and electrical systems to resist flooding and tropical storms while converting rainfall and energetic ocean waves into usable resources.

• Researched wave-energy generation: evaluated SWEL’s Waveline Magnet, which converts vertical wave motion into electrical current through oscillating magnets and conductive coils; proposed two shoreline units rated at up to 100 kW each under optimal conditions to take advantage of the higher-amplitude waves produced by tropical storms.
• Designed a second rainfall-energy path: specified dual-electrode D-TENG panels across a 50,000-square-foot, eight-sided roof so flowing rain droplets transfer charge through triboelectric and electrostatic induction, with the essay’s model estimating 25.39 kWh of annual generation.
• Engineered the storm-resistant envelope: selected 12-gauge steel framing, fiber-cement cladding, fiberglass windows, fiberglass insulation, and phase-change materials; the modeled wall assembly increased R-value from 0.65 to 5.65 m²·K/W and reduced heat transfer by approximately 89%.
• Integrated flood detection and response: used LiDAR-derived elevation maps and digital surface models to locate retention ponds and drains, then proposed 80 water-level sensors, 20 AI-enabled cameras, automated diversion controls, and self-stabilizing watergate barriers.
• Closed the stormwater loop: routed collected water through retention and storage systems and proposed automated bioremediation using targeted bacterial cultures to break down hydrocarbons, heavy metals, and plastics before reuse.
• Modeled feasibility and limitations: estimated $2.17 million for the steel structure and watergate system, $427,000 for LiDAR/AI integration, and $2.5–$3.75 million for D-TENG and two Waveline Magnets while identifying permitting, transport, maintenance, grid integration, and funding as implementation risks.

Read the full 2025 proposal ↗

Wave energyD-TENGLiDAR + AIFlood controlBioremediationCost analysis

Respiratory DAQ & 5DCT Validation

I modernized a respiratory data-acquisition and analysis workflow used by radiation-oncology researchers to model patient breathing patterns and validate 5DCT data. The LabVIEW changes enabled real-time monitoring and recording, expanded the data available for abnormality review, and improved practitioner breathing-model accuracy by 50%.

• Rebuilt the acquisition chain: connected P409X respiratory transducers through DAQmx and modular SubVIs for calibration, voltage-to-pressure conversion, signal conditioning, digital filtering, waveform processing, and timestamped recording.
• Improved modeling accuracy by 50%: added continuous real-time graphing and recording so practitioners could compare higher-resolution breathing curves, identify abnormal waveform behavior, and fit patient respiratory patterns more accurately.
• Modernized legacy LabVIEW code: replaced outdated blocks with current open-source VIs, separated acquisition and visualization logic, optimized dataflow, and expanded graph inputs beyond the smaller dataset handled by the previous program.
• Automated 5DCT validation in MATLAB: wrote functions to sort patient datasets, increase artifact visibility, flag likely registration errors, and separate false positives for researcher review.
• Improved maintainability: parameterized Front Panel controls and documented SubVI inputs, outputs, units, dependencies, and expected signal ranges so later lab members could recalibrate or extend the workflow.