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ABHIJOY SARKAR
Senior AI Engineer specializing in LLMs, agentic systems, and MLOps
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About
Built and shipped PromptGuard, a production middleware proxy that secures GenAI RAG/agent systems against prompt injection and unsafe tool use using risk scoring, graded policy actions, and least-privilege tool gating. Also replaced LangChain abstractions with a custom state-machine runner for a production voice agent to reduce latency and improve traceability, and delivered a clinic call assistant by converting front-desk/doctor requirements into scenario-based guardrails and measurable evals.
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Key Strengths
- Built and deployed production GenAI security middleware to prevent prompt injection and unsafe tool use
- Balances safety and usability via graded enforcement outcomes (allow/redact/warn/confirm) instead of binary blocking
- Strong evaluation discipline: regression suites with normal + adversarial prompts; turns failures into new tests
- Performance-minded engineering: fast-path checks, caching, thresholds, timeouts, and fail-safe defaults to control latency
- High observability approach with structured logs capturing rules/classifiers, risk scores, transformations, and gated tool calls
- Designs reliable agent workflows with explicit state machines, timeouts, retries, fallbacks, and hard tool permissions
- Pragmatic model/retrieval/prompt selection driven by latency/cost/accuracy/safety requirements and A/B testing
- Effective collaboration with non-technical stakeholders by translating needs into scenario checklists, guardrails, and decision-tree flows
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Experience
Education
Awards
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Publications
2 publications
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