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Aaditey Pillai
Intern AI/ML Engineer specializing in LLM applications, RAG, and model evaluation
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About
Backend/ML engineer who built production LLM-enabled systems at PRGX, including an interpretable contract opportunity scoring engine (Bradley-Terry pairwise ranking) that reached 0.82 weighted Spearman agreement with SME auditors and was integrated into workflow. Also built a Duke student advisor chatbot and hardened it for real-world reliability/security with schema-driven tool calling, normalization, and off-domain defenses; led staged production rollouts with shadow testing and achieved 0.90 F1 on a new extraction field before shipping.
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Key Strengths
- Designed and shipped an LLM-assisted contract opportunity scoring engine integrated into auditor workflows
- Strong focus on interpretability in ML systems (Bradley-Terry pairwise ranking over deep models)
- Achieved 0.82 weighted Spearman correlation vs SME contract rankings
- API reliability patterns for LLM products (schema-enforced tool inputs, normalization, consistent response shapes, clarifying-question fallback)
- Led production pipeline migration with shadow-mode testing and staged rollout
- Delivered 0.90 F1 contract-number extraction before shipping to production
- Security-minded backend design (JWT auth, RBAC, tenant-scoped queries, abuse prevention, AI guardrails)
- Proactively identified conversational jailbreak/off-domain failure modes and hardened the system (re-grounding, confidence checks, tool restrictions)
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