Rajasekhar Josyula
Photons in, decisions out.
00 // IDENT
- Role
- Staff Software Engineer, Tesla AI
- Location
- San Francisco, CA
- Focus
C++20 · CUDA · TensorRT · Machine Learning
01 // ABOUT
I am a Staff Software Engineer at Tesla AI, building sub-10ms photon-to-NN camera pipelines for production cars and Optimus robots, and training the neural nets used for driver monitoring and cabin monitoring. I lead sensor bring-up and real-time calibration, and have been hand-crafting low-level C++ for a decade to keep perception airtight from prototype labs to Robotaxi production.
02 // SPECTRUM
03 // EXPERIENCE
Staff Autopilot Software Engineer · TeslaAI_
2022.05 — presentOwns the cabin-camera driver-monitoring model in production firmware, EU GSR2 DDAW/ADDW evidence packs, and the driver-attention path that arms Automatic Collision Evasion in FSD (Supervised) v14.3.9. Builds the sub-10 ms photon-to-NN stacks those nets depend on.
Sr. Software Engineer, Autopilot · TeslaAI_
2020.02 — 2022.05Led camera bring-up and the Sony IMX down-select for Model 3, Y, and S/X refresh. Defined vehicle-level IQ suites (MTF/SFR, ΔE, flare, veiling glare) and maintained the production C++ capture stack through OTA curve updates.
Sensor Software Engineer, Autopilot · TeslaAI_
2017.05 — 2020.02Led factory camera calibration for vision-only Autopilot: ChArUco diamond boards, occluded-marker recovery, and global bundle adjustment in C++/OpenCL on the line. Owned temperature-swept intrinsics into module EEPROM.
Software Engineer, Quality · Tesla_
2016.01 — 2017.05War-roomed Model X firmware, Autopilot, and thermal issues against factory-gate and early-field data, and shipped OTA fixes to cars already delivered. Root-caused S/X authentication failures and correlated telemetry with Consumer Reports and JD Power.
04 // PROJECTS
Real-time SLAM visualization running 100% in the browser. Autonomous drone simulation, 3D Gaussian Splatting, Monte Carlo Localization, and Graph SLAM visualization with no backend required.
xSLAM // SPATIAL_ESTIMATOR_ACTIVEFPS: 60.0T_PROC: 4.8MSAn interactive Bayes filter: hover graph nodes to inspect local covariance ellipses, trigger 2D LiDAR raycasts, and highlight Information matrix components. Click nodes to inject factor constraints (x4 loop closure). Clipboard relay for distributed teams: drop text or secrets on one machine and retrieve them securely anywhere via short-lived, single-use tokens. Built for tmux-first workflows with deterministic latency on the edge.
COPYPASTE // SECURE_TUNNEL_ESTABLISHEDE2EE: X25519AEAD: CHACHA20The protocol, step by step — hover entities to inspect variables (A public keys, Relay storage structure, B decay triggers). Click B to force self-destruction sparks, click the TTL bar to reset the countdown.
05 // EDUCATION
M.S. Information Systems & Security_
2017University of the Cumberlands. GPA 4.0 · Cybersecurity focus.
M.S. Electrical & Electronics Engineering_
2016Lamar University. GPA 3.6 · Embedded systems focus.
B.E. Electrical Engineering_
2013Amrita University. Robotics focus.
06 // UPLINK
- qxlsz@duck.com
- GitHub
- github.com/qxlsz
- in/rajasekharjosyula
- X (DM)
- @qxlsz
- Signal
- qxlsz.6174
- Matrix
- @qxlsz:matrix.org
07 // TRUST_ANCHORS
verify: keybase.io/qxlsz · github.com/qxlsz.keys