Resume

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	\textbf{\href{https://www.linkedin.com/in/shaiqkar/}{\Large Shaiq Iqbal}} & Email : \href{mailto:your-email@gmail.com}{your-email@gmail.com}\\
	\href{https://www.linkedin.com/in/shaiqkar/}{{https://www.linkedin.com/in/shaiqkar/}} & Mobile : +912222333000 \\
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\section{Education}
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            {Indian Institute Of Technology Dharwad}{Karnataka, India}
            {B.Tech in Computer Science;  CGPA: 9.3}{Aug 2018 -- Jun 2022}
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% -- [Experience]
\section{Experience}
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            {Zenith Capital (Quant Trading Firm)}{Mumbai, India}
            {Senior Software Engineer}{Dec 2024 - Present}
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                {Developed low-latency order execution systems in C++17, reducing tick-to-trade latency by \textbf{40µs} through lock-free data structures and kernel bypass networking (DPDK).}
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                {Built a high-frequency market data handler capable of ingesting and normalizing \textbf{5M+ messages/se}c from multiple exchanges, with bounded jitter under heavy bursts.}
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                {Created a real-time \textbf{PnL} attribution dashboard with WebSockets and ClickHouse, enabling traders to drill down to instrument-level profits with sub-second refreshes.}
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                {Partnered with quants to productionize deep learning models (LSTM for price forecasting, CNN for order book imbalance), containerized with TensorFlow Serving, and deployed on GPU-backed Kubernetes clusters.}
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                {Contributed to infra-level optimizations, including kernel tuning (CPU pinning, huge pages, \textbf{NUMA-aware} memory allocation) for deterministic performance under load.}
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            {Google}{Bengaluru, Karnataka}
            {Software Engineer}{Jul 2022 - Dec 2024}
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                {Contributed to \textbf{Google Kubernetes Engine} (GKE) by designing a new node auto-healing mechanism that reduced downtime for workloads by \textbf{22\% }across customer clusters.}
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                {Developed a distributed load balancer control plane in Go handling \textbf{30M+ requests/sec}, improving request distribution fairness and cutting p95 latencies by 18\%.}
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                {Implemented a gRPC-based service mesh extension for internal teams, adding advanced traffic shaping (circuit breaking, weighted routing).}
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                {Developed a kernel bypass datapath prototype \textbf{(DPDK + userspace TCP stack)} for GCP VMs, evaluated for specialized HPC workloads.}
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                {Collaborated with the \textbf{Google Borg }team to optimize container networking overhead, cutting pod-to-pod latency within clusters by \textbf{15\%} through shared memory channels.}
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                {Authored internal RFCs on QUIC-based service meshes and NUMA-aware container scheduling, influencing roadmap discussions across Google Cloud Networking.}

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% -- [Projects]
\section{Projects}
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            {LatencyLab – Ultra-Low-Latency Trading Simulator}
            {Built a C++/Go simulator for order book replay and strategy benchmarking at nanosecond resolution. Used lock-free queues, RDMA verbs, and DPDK to emulate exchange-level latencies. Enabled researchers to test strategies with 100x faster backtests compared to legacy tools.\\
	        \textbf{Technologies}: C++17, Go, DPDK, RDMA, Redis, Aerospike | \textcolor{blue}{\href{https://github.com/<project-link>}{GitHub}} - \textcolor{blue}{\href{https://<demo-link>}{Demo}}}
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            {Guard - Service Mesh Security Layer}
            {Created a QUIC-based service mesh prototype with mutual TLS, fine-grained RBAC, and dynamic traffic shaping. Benchmarked against Istio, demonstrating 15\% lower overhead at scale.\\
	        \textbf{Technologies}: Go, QUIC, Envoy, gRPC, Istio | \textcolor{blue}{\href{https://github.com/<project-link>}{GitHub}}}
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% -- [Skills]
\section{Skills}
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        \item{\textbf{Programming}: Proficient in C++17/20, Go, Python, Rust. Experienced with JS/TS, PHP, SQL, Kotlin, Bash, CUDA}
        \item{\textbf{Quant}: Volatility surfaces, Options pricing (SABR, Heston), ARIMA, GARCH, HMMs}
        \item{\textbf{Systems \& Frameworks}: gRPC, FastAPI, Spring Boot, QUIC, eBPF, DPDK, RDMA }
        \item{\textbf{DevOps Tools and Utilities}: Git, Docker, AWS, GraphQL, MongoDB, PostgreSQL, Aerospike, Redis, Kafka, Aurora, Kubernetes.}
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    GitHub \the\month.\the\year.cbd56904
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