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Software Engineer • Full Stack • Systems

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I build backend systems, cloud infrastructure, and full-stack products that scale in production.

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Bengaluru

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shivamjain.dev@gmail.com

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Career Timeline

Experience

Software Development Engineer

@ GoQuantJan 2025 - Present

  • Deployed and operated MoE LLMs up to 27B parameters using vLLM and tensor parallelism.

    LLMLLMvLLM

  • Built reusable golden images and automated provisioning workflows for AWS bare metal and onprem KVM/QEMU environments, pre configuring Linux performance tuning, CPU affinity and kernel networking using Terraform and Ansible.

    DevOpsAWSTerraformAnsible

  • Built a Cursor-like AI workstation for traders and quants where autonomous agents collaborated on market research, strategy generation, execution, and backtesting, reducing quantitative strategy development time by 40%.

    LLM
    Read Deep Dive
    AgentsFinTech

  • Reduced infrastructure costs by $31.6K+ annually by building a cross-platform x86-to-ARM migration pipeline for C++/Rust services and optimizing AWS compute, ECS, RDS, and Aurora workloads.

    DevOpsDevOpsAWSC++Rust

  • Built Terraform/Terragrunt modules for multi-cloud trading infrastructure across AWS and GCP, provisioning Kubernetes clusters, networking, IAM, ingress/egress gateways, and client environments through reproducible GitOps deployments using ArgoCD, Helm, and Karpenter.

    DevOpsTerraformKubernetesArgoCDHelm

  • Designed a context optimization framework for long-running AI agents using hierarchical summarization, vectorized memory, and Qdrant-based retrieval, reducing token consumption and inference costs by 30–60%.

    LLM
    Read Deep Dive
    LLMQdrantRAG

  • Built evaluation, observability, and inference infrastructure using LLM-as-a-Judge pipelines, conversation datasets, trace collection, GPU scheduling, and regression detection for production AI systems.

    LLMLLMOpsObservability

  • Optimized real-time trading interfaces processing 300+ WebSocket updates per minute through Canvas rendering, bounded queues, rendering optimizations, and memory management techniques, eliminating UI lag and memory leaks.

    FrontendWebSocketsReactCanvas

  • Built a C++ low latency pre-trade risk engine supporting $100M+ trading volume, enforcing margin checks, leverage limits, exposure controls, and duplicate order prevention across multiple exchanges.

    TradingC++Low Latency

  • Built real time post trade analytics and reconciliation infrastructure using Python to validate executions, positions, balances, and fees while detecting exchange to internal state mismatches.

    TradingTradingPython

  • Provided primary operational support for cloud and bare-metal trading infrastructure, performing incident triage, root cause analysis, and restoring trading operations within 45 minutes during critical production outages.

    DevOpsSREOperations

  • Implemented algorithmic execution and risk management workflows including TWAP, VWAP & trailing stop loss.

    TradingTradingAlgorithms

  • Developed exchange connectivity and execution infrastructure for a multi-exchange OEMS, integrating REST, FIX WebSocket APIs for market data ingestion and order routing across 20+ trading venues.

    TradingFIXAPIsWebSockets

  • Reverse engineered undocumented exchange workflows through API analysis, source code inspection, protocol specifications, and blockchain interactions, including recreating dYdX margin and leverage operations where public documentation was incomplete.

    TradingReverse EngineeringAPIs

  • Optimized analytics workloads through PostgreSQL query tuning, indexing strategies, rolling aggregations, and Redis.

    Backend
    Read Deep Dive
    PostgreSQLRedisDatabase Tuning

  • Designed a secure credential brokerage platform using Go and OpenBao, abstracting exchange API credentials behind internal identities while providing auditing, account allocation, access control, and transaction traceability.

    BackendGoSecurityOpenBao

  • Reduced frontend memory consumption by 60%, build times from 25 minutes to 3 minutes, and release bugs from 8 to 0 per cycle by redesigning frontend architecture, introducing 600+ automated tests, and implementing performance-focused build pipelines.

    FrontendReactPerformanceTesting

  • Built end-to-end testing, CI/CD, and stress-testing frameworks using GitHub Actions, Playwright, remote caching, and high-frequency workload simulation to improve release reliability and identify scalability bottlenecks before production deployment.

    DevOpsPlaywrightCI/CDTesting

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