01
SPR Biosensor Comparative Approach
A multilayer transfer-matrix simulation comparing sensor stacks, cross-validated against an established package with the disagreement from the cited reference documented explicitly.
Companion pageI build applied software and AI tools around real problems I can inspect.
My background is in electrical and electronics engineering. I work on applied AI, computer vision, backend pipelines, and scientific computing by building systems around messy inputs, checkable outputs, and clear limits.
Building now
Road Risk Review is a private product beta for turning recorded road footage into event timelines and investigation packs. Its public evidence includes a 0.194 s mean conflict-time error across seven contact scenarios in a nine-clip controlled set.
Active product
Road Risk Review
A private beta for reviewing recorded road footage with computer vision, evaluation gates, evidence exports, and verification reports.
- ~0.6 s
- Moderate-band lead in one fixed dashcam case
- 0.194 s
- Mean absolute error across seven contact scenarios
- 2
- Near-miss clips flagged as false conflicts
The product turns multiple visual cues into timestamped risk events, explains what contributed to each flag, and exports reviewable evidence such as per-frame data, labelled video, timelines, and investigation reports.
The implementation stays private while selected case-study baselines and deterministic scenarios remain public. Those artifacts gate the claims shown here and expose failures instead of hiding them.
Second product
Skywatch
A live weather prototype built around inspectable data.
Skywatch combines a seven-day forecast with server-side location privacy and an optional public-webcam cross-check. The companion page makes provenance, handling, and the visual check inspectable.
Inspectable path
v0.1 prototype- 01
Location
Resolved server-side; request IP discarded after lookup
- 02
Forecast
Open-Meteo data with its source and issue time visible
- 03
Visual check
Public webcam frames compared with brightness and edge signals
Open source
Sindook
Post-quantum file encryption built on X-Wing.
Sindook seals files and secrets against harvest now, decrypt later attacks. Key establishment combines X25519 with ML-KEM-768 through the X-Wing hybrid KEM, implemented from the IETF specification in Go with zero custom primitives. Sealed files carry key slots, so access can be rotated and old files upgraded in place without re-encrypting the data they protect. Sindook is the Bengali word for a strongbox.
Verification path
v0.3.0- 01
Test vectors and interop
Verified byte for byte against the IETF draft vectors, and cross-tested against Cloudflare's and Filippo Valsorda's implementations on every CI run
- 02
Primitives
ML-KEM-768, X25519, SHA-3, ChaCha20-Poly1305, HKDF, and Argon2id, all from the Go standard library and x/crypto, none custom
- 03
Key rotation
rewrap swaps recipients by rewriting only the header, payload bytes untouched; a deep mode re-encrypts when someone must actually lose access
- 04
Tamper suite
Truncation, reordering, bit flips, wrong keys, slot stripping, and parameter downgrades each fail authentication
Technical directions
- 01
Applied AI for real-world review and operations workflows
- 02
Computer vision on recorded road and environmental footage
- 03
Backend pipelines, evaluation gates, and evidence exports
- 04
Post-quantum cryptography and data protection tooling
Archived projects
Earlier scientific computing work, kept because it already carried the habit the newer projects are built on: cross-validate against an established reference and document the disagreement instead of hiding it.
Open to
Remote or relocation-friendly opportunities in applied AI, backend, computer vision, and product engineering, especially tools for review, analysis, or operations workflows.
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