Vasudev Siddh
Vasudev Siddh is an India-based solo AI engineer and open-source builder who develops production-oriented voice agents, LLM systems, and developer tools. His work emphasizes latency, reliability, evaluation, explainability, and local-first data ownership.
At a Glance
- Individual job seekers and applicants
- Developers and open-source contributors
- Teams building or operating voice agents
- AI product teams needing evaluation, retrieval, latency, or reliability engineering
- +1 more
AI Tools by Vasudev Siddh
(1)
JustHireMe
Local First AI Job Search App
Discussions
No discussions yet
Be the first to start a discussion about Vasudev Siddh
Latest News
Updated BranchGPT and Socratis repository/portfolio domains to siddhvasudev.com.
Released JustHireMe v1.7.0 with Windows, macOS, and Linux installers, checksums, and local-first/no-hosted-backend positioning.
Socratis repository recorded reliability and latency work for the voice-interview agent, including an auto-restart supervisor.
Socratis added its AI interviewer agent with dynamic context, post-interview reports, and a Deepgram TTS patch.
Products & Services
AGPL-3.0 local-first desktop job-intelligence workbench. It imports a résumé/profile, discovers and normalizes leads from multiple sources, applies quality gates, ranks fit using graph and vector evidence, and generates reviewable résumé, cover-letter, and outreach drafts. It ships for Windows, macOS, and Linux.
On-device Windows dictation app using faster-whisper/CTranslate2. It provides a system-wide hotkey, streaming transcription, active-cursor insertion, app-aware input handling, personal vocabulary, local history, optional Ollama cleanup, and recovery/log-redaction safeguards.
Open-source voice-agent evaluation prototype that simulates adversarial callers, scores conversations against configurable metrics, revises prompts toward failing metrics, streams progress over WebSockets, and stores run history and word-level prompt diffs.
Private pre-release idea workspace with web and mobile clients in which agents research, critique, plan, and propose attributed document changes; proposals are versioned and require owner acceptance.
Market Position
Vasudev positions himself as a solo, production-minded AI engineer rather than a funded startup. His differentiators are public end-to-end builds, measurable latency/reliability work, explainable evaluation, and privacy/local-first software. JustHireMe is differentiated from cloud-first job-automation and black-box auto-apply tools by keeping data on-device, showing evidence behind scores, and requiring human approval; Odeon is differentiated from transcript-only voice-agent testing by simulating adversarial callers and retaining metric-level diffs. His voice and interview prototypes overlap with cloud voice-agent platforms, AI interview products, and agent-evaluation frameworks, but are presented as open-source prototypes rather than a commercial enterprise suite.
Leadership
Executive Team
Vasudev Siddh
Solo creator and maintainer; AI Engineer
AI Engineering intern at Layer (withlayer.ai) since June 2026 and AI/full-stack contract engineer for confidential clients in 2026. He studies at Lovely Professional University, Punjab (2023–2027 expected; CGPA 8.59), and maintains the vasu-devs open-source portfolio.
Founding Story
Vasudev's portfolio presents him as an individual creator rather than a company. He started building public projects to solve practical problems he encountered: JustHireMe came from frustration with noisy job boards and black-box application tools, while his AI projects explore reliable voice interaction, evaluation, retrieval, research provenance, and developer workflows.
Business Model
Revenue Model
No conventional company revenue model is identified. Public projects are primarily open source; JustHireMe is AGPL-3.0, accepts sponsorship/Buy Me a Coffee support, and its repository says commercial licenses are available for organizations that need them. Vasudev also offers paid freelance/contract engineering work, including a paid two-week trial.
Target Markets
- Individual job seekers and applicants
- Developers and open-source contributors
- Teams building or operating voice agents
- AI product teams needing evaluation, retrieval, latency, or reliability engineering
- Researchers and users working with evidence-heavy or multimodal documents
- Private job discovery, fit ranking, and application-material tailoring for job seekers
- Voice-agent testing, prompt optimization, and reliability evaluation
- Real-time AI interview practice and technical assessment
- Voice call automation and monitoring prototypes
- Evidence-backed research and provenance-aware report generation
- Question answering over multimodal PDFs