Sanskar Rawat

Architected a multi-agent AI system automating end-to-end data workflows (extraction, transformation, indexing, monitoring), reducing manual data ops by ∼60% and powering graph-based compliance analytics. Implemented a distributed bulk email alert service on Kafka + Redis, processing 50K+ notifications/hour with sub-second delivery; instrumented via Prometheus + Grafana for throughput and latency observability. Developed a WhatsApp Business API verification pipeline cutting identity validation time from 5 min → 2 min across 10K+ monthly verifications, boosting onboarding completion rate by 40%.

Software Developer at KYC Hub (2025-11 – Present)

• Architected a multi-agent AI system automating end-to-end data workflows (extraction, transformation, indexing, monitoring), reducing manual data ops by ∼60% and powering graph-based compliance analytics.
• Implemented a distributed bulk email alert service on Kafka + Redis, processing 50K+ notifications/hour with sub-second delivery; instrumented via Prometheus + Grafana for throughput and latency observability.
• Developed a WhatsApp Business API verification pipeline cutting identity validation time from 5 min → 2 min across 10K+ monthly verifications, boosting onboarding completion rate by 40%.

Software Developer at Credochain (2023-10 – 2025-07)

• Built a Go-based resilience framework with a Hystrix-style circuit breaker, bulkhead isolation, retry policies, and a Redis-backed token-bucket rate limiter (<5ms overhead) adopted across 8+ internal services.
• Deployed a scalable Go notification service (SMS/Email) on AWS (99.9% uptime) with a gRPC API supporting unary, server-streaming, and bi-directional streaming + REST mapping; monitored via Prometheus + Grafana.
• Engineered a RAG voice-agent for collections using Deepgram STT, FAISS vector retrieval, LLM summarization, and ElevenLabs TTS cutting call handling time by 35% and doubling agent throughput.
• Built serverless pipelines with AI-powered OCR automating invoice extraction across 5+ document formats, cutting manual entry time by 90% and improving field accuracy by 70%.

Software Developer Intern at Freecharge (2023-02 – 2023-07)

• Engineered a user drop-off detection service within a microservices architecture, enabling funnel-level behavioral analysis across key product journeys and informing product decisions for 1M+ active users.
• Built an event-driven notification system triggering personalized SMS/email communications based on user activity patterns, improving engagement and retention metrics.

Bachelor of Technology in Computer Science – Maharishi Markandeshwar Engineering College (2019-07 – 2023-07)