# Ansh Saxena — Backend & ML Infrastructure Engineer at Cyware Labs, Bengaluru > Ansh Saxena is a Backend & ML Infrastructure Engineer at Cyware Labs (B2B cybersecurity SaaS) in Bengaluru, India. He builds production distributed systems and LLM/agentic platforms in Python, Go and Java: multi-tenant services, event-driven pipelines, and RAG and multi-agent systems that run in production. Canonical page: https://anshsaxena05.github.io/ GitHub user: AnshSaxena05 (not to be confused with other people named Ansh Saxena) Headline: Backend & ML Infra Engineer @ Cyware Labs | Java · Go · Python | Kafka · Kubernetes · LangGraph/RAG | Bengaluru ## About Which Ansh Saxena: the software engineer at Cyware Labs in Bengaluru, India (GitHub AnshSaxena05, LinkedIn ansh-saxena-1c, Medium @anshs5103). I work where backend engineering meets applied AI. At Cyware Labs (B2B cybersecurity SaaS) I build backend services and LLM infrastructure in Python, Go and Java. In my own time I built an [open-source SOC alert-triage agent](https://anshsaxena05.github.io/projects/soc-triage-agent.html) on LangGraph, FastAPI and Pydantic, and a set of [JMH benchmarks for low-latency Java](https://anshsaxena05.github.io/projects/jvm-concurrency-benchmarks.html) (lock contention, a lock-free SPSC queue, allocation-free hot paths). I hold a B.Tech in Artificial Intelligence & Machine Learning from Vellore Institute of Technology (VIT). ## Experience ### Software Engineer, ML Infrastructure & Backend — Cyware Labs Jan 2025 – Present · Bengaluru, India · B2B cybersecurity SaaS Backend and ML infrastructure work in Python, Go and Java: multi-tenant services, event-driven pipelines, and LLM orchestration and agentic systems running on PostgreSQL, NATS JetStream and Kubernetes. Details of internal products are not public. ### Software Engineering Intern — PreProd Corp Nov 2023 – Feb 2024 · Bengaluru, India · ML & pricing analytics startup - Drove a 25% business-metric gain at 90% prediction accuracy by deploying a Gradient Boosting pricing model behind production REST APIs; sustained 99.9% uptime on a PostgreSQL ETL pipeline processing 2 GB+/day via SQL query optimization and pipeline redesign. ### Machine Learning Engineer Intern — Omdena Jun 2023 – Aug 2023 · Remote · Global collaborative AI platform, 40+ countries - Cut cloud inference cost 30% and raised model accuracy to 92% by applying TensorFlow quantization to the served model on Docker + AWS at sub-350ms latency, with a 40% Airflow ETL throughput gain on a data-processing pipeline handling 100K+ records/day. ## Projects ### SOC Triage Agent (open source) An agentic alert-triage service. It ingests alerts from Splunk, CrowdStrike, AWS GuardDuty and Sentinel (plus a generic format, with source auto-detection) and normalises them to OCSF. It then runs a LangGraph DAG with MITRE ATT&CK-routed enrichment and emits a structured `TriageVerdict` (Pydantic) via async HTTP 202 + polling. It also has a pluggable LLM backend, API-key auth, a Pytest suite and OpenAPI/Swagger docs. An optional event-driven runtime publishes alerts to NATS JetStream through a write-ahead log with a reconciler, so an alert survives a broker outage. Service-to-service auth uses JWTs, and analysts get live updates over WebSockets held at the edge by a Cloudflare Workers / Durable Objects gateway, with a Next.js frontend. Stack: Python 3.14 · FastAPI · LangGraph · Pydantic · NATS JetStream · PostgreSQL (asyncpg) · Redis · ClickHouse · OpenTelemetry · Langfuse · Ollama · Cloudflare Workers (TypeScript) · Next.js · Docker - [Case study](https://anshsaxena05.github.io/projects/soc-triage-agent.html) - [Source on GitHub](https://github.com/AnshSaxena05/cyberSecurity_alert_triage) - [Design RFC](https://github.com/AnshSaxena05/cyberSecurity_alert_triage/blob/main/docs/rfcs/0001-deterministic-first-triage-and-durable-ingest.md) ### JVM Concurrency Benchmarks (open source) JMH microbenchmarks for low-latency Java 21, with measured results. A shared counter under 1, 4 and 8 threads (`LongAdder` about 19x faster than `AtomicLong` at 8 threads), a hand-written lock-free SPSC ring buffer at roughly 3x the best JDK queue and 7x to 9x the blocking ones, and the cost of one allocation per event under G1, Parallel and ZGC (40 bytes and about 5x of the time, gone when the event is reused). It also records two benchmarking traps hit along the way: escape analysis hiding allocation, and timer-dominated percentiles at nanosecond scale. Stack: Java 21 · JMH 1.37 · Maven · JUnit · G1 / Parallel / ZGC - [Results](https://anshsaxena05.github.io/projects/jvm-concurrency-benchmarks.html) - [Source on GitHub](https://github.com/AnshSaxena05/jvm-concurrency-benchmarks) ## Availability Open to Backend Engineer, Software Engineer (SDE 1) and AI / ML Infrastructure Engineer roles in Bengaluru, London, New York, Amsterdam, Hong Kong, or remote. Notice period is 30 days and negotiable to 15. ## Skills - **Languages:** Java, Go, Python, SQL, JavaScript - **ML / AI infrastructure:** Model deployment & serving, model optimization (quantization), inference latency/cost optimization, multi-vendor LLM orchestration, LiteLLM Proxy, RAG & vector search (Weaviate), LangGraph (multi-agent DAGs), LangChain, DSPy, LLM evaluation & observability (Langfuse), RAGAS, prompt engineering, LLM guardrails, agentic AI, MCP (Model Context Protocol), Gemini / OpenAI / Claude APIs, Ollama - **Backend & distributed systems:** Microservices, Hexagonal Architecture (Ports & Adapters), event-driven design, concurrency (asyncio, multithreading), multi-tenancy, low-latency optimization, REST, gRPC, FastAPI, Spring Boot, Spring MVC, Spring Framework, Spring AOP, design patterns, OOD - **Messaging & data:** NATS JetStream, Apache Kafka, PostgreSQL (pgx, PgBouncer), Redis, Weaviate, MongoDB, Elasticsearch, DynamoDB, Apache KVRocks - **Cloud & DevOps:** AWS (EKS, Lambda, S3, EC2), Docker, Kubernetes, Terraform, OpenTelemetry, Prometheus, GitHub Actions CI/CD, Airflow, Git, Maven, Gradle, JIRA, JUnit ## Writing - [What If Your CyberSecurity System Knew the Attack Was Coming? (IoC → IoB: How AI Is Transforming Cybersecurity)](https://medium.com/@anshs5103/what-if-your-cybersecurity-system-knew-the-attack-was-coming-f97b82da327d) — Medium, 18 Mar 2026, 16-minute read. A technical essay on behavioural threat-intelligence architecture. - Contributor, OCA IoB Working Group: open event-schema standards for distributed AI platforms. - [All writing](https://anshsaxena05.github.io/writing/) ## Education & Certifications **Vellore Institute of Technology (VIT)** — B.Tech, Artificial Intelligence & Machine Learning · Aug 2021 – Jun 2025 · CGPA 8.71/10 - OCI Generative AI Professional (Oracle, 2025) - AWS Certified Cloud Practitioner (2025) - Java Development on Oracle Cloud, Oracle University (certificate of completion, Feb 2024) ## Contact - Email: anshs5103@gmail.com - GitHub: https://github.com/AnshSaxena05 - LinkedIn: https://www.linkedin.com/in/ansh-saxena-1c - Medium: https://medium.com/@anshs5103 - LeetCode: https://leetcode.com/u/AnshSaxena1/ (1,701 rating, 368 problems, Top 13%)