Sattyam Jain

Attri.ai · Ahmedabad, India · Remote with daily US Pacific overlap

• Architected Agentify — Attri's flagship production multi-agent platform with 15+ specialized agents (Orchestrator, PRD, Architect, Designer, Coder, Diff Analyzer, Discovery) for end-to-end product workflows.
• Designed the Orchestrator agent: central state-machine brain coordinating multi-agent flows, tool calls, and human-in-the-loop checkpoints with full replay + audit.
• Built the multi-provider LLM routing layer across Anthropic Claude (Opus 4.7 / Sonnet 4.7 / Haiku 4.5), OpenAI GPT-5.5 / 5.5 Pro, Azure OpenAI, Google Gemini 3 Pro — with fallbacks, token budgeting, and rate limiting.
• Engineered the Cascading Router cost strategy — ~70% LLM cost reduction by routing simple queries to small/cheap models and complex tool-use to Opus 4.7.
• Implemented E2B micro-VM sandboxing for agent code execution; led MCP-style tool integration across 10+ services with standardized auth, contracts, and result normalization.
• Designed the multi-tenant SaaS architecture: workspace segmentation, RBAC, Stripe billing, usage-based pricing, zero-downtime blue-green deployments — running at 99.9% production uptime.
• Architected the multi-cloud on-prem fork of the flagship platform: Terraform-per-environment, adapter pattern (Keycloak / MinIO / Postgres / Azure Blob), jsonb metadata for client schema variance — one codebase, N client clouds; unblocked the regulated-vertical deployment mode.
• Customer-facing principal engineer across 12+ enterprise engagements in 6 regulated US verticals (Insurance, Healthcare, AmLaw 200 Legal, EdTech, Construction, Geospatial); own scoping, integration design, and post-deployment governance.
• Greenfield delivery of a regulated healthcare AI product (FastAPI + React, empty repo → v1 in 6 weeks); authored the pre-launch Infrastructure + Compliance Audit closing PHI / secrets / observability gaps before customer onboarding.
• Coined the Capability Lease security pattern — short-lived, scope-narrowed, revocable agent credentials; adopted across agent-airlock, mnemo, and the AAK-CAPLEASE rule family in agent-audit-kit.
• Built attri-dev-kit, the org-wide CI/CD platform serving 208 internal repos with AI-specific guardrails (hallucinated-import detection, AI-author signature escalation, unjustified-lint-disable hard-blocks, test-delta gate).
• Built eval harnesses + OpenTelemetry → Datadog / Sentry / PostHog observability for agent reliability, tool-call accuracy, and latency across 9 production AI projects (Tech Owner).
• Allocated 25+ engineers across 16 simultaneous customer projects via a custom Resource Allocation Planner; performance-reviewed a 22-person engineering org; authored the org-wide Engineering Process Alignment doc adopted across every active project.

Zenarate · Gurugram, India · Hybrid

• Shipped LLM-powered conversational AI features across multiple model families (private + open-source) for the contact-center training simulation platform.
• Cut p95 response latency 40% (1.6s → 960ms) by separating intent classification from generation and warm-pooling inference workers.
• Built predictive analytics pipelines on Azure CLU + LUIS; reporting accuracy lifted 15 points, improving client decision-making speed.
• Re-architected the simulation backend with health-gated rollouts and per-service circuit breakers; deploy time 18 min → 4 min, unplanned downtime −30%, sustained ~3k concurrent training sessions.
• Designed REST + WebSocket APIs (FastAPI) for the real-time simulation layer; managed AWS infrastructure-as-code with high-availability rollouts.
• Drove architecture decisions on service boundaries, session-tracking data models, and AI-assisted feature integration that did not compromise platform reliability.

MyShubhLife (FinTech) · Bengaluru, India

• Led the team building Kautilya LMS — a SaaS course + certification platform serving 500+ partner users with self-service enrollment, content delivery, certification, and proctoring.
• Built Heimdall from scratch — an internal ERP control tool giving partner ops real-time visibility across 50+ integration endpoints; cut partner onboarding 50% (≈4 wks → ≈2 wks).
• Designed and shipped backend services for loan processing, customer onboarding, and financial analytics for the consumer-lending product (Python + Django/DRF + Celery + Postgres + Redis).
• Built a production NER + OCR KYC pipeline (Python + AWS) processing 10,000+ documents/day at 92% extraction accuracy; cut human review queue 68% and unblocked same-day loan disbursal.
• Designed APIs + architecture for loan lifecycle, credit-scoring integrations, and reporting; tuned database performance + monitoring for sustained throughput.
• Co-authored pyluca — open-source double-entry accounting library (60+ ★); mentored engineers, ran code reviews, facilitated design discussions, and bridged technical + non-technical stakeholders.