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SRINJOY59/readme.md
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│   ╚══════╝╚═╝  ╚═╝╚═╝╚═╝  ╚═══╝    ╚════╝  ╚═════╝    ╚═╝       ╚═════╝ ╚═╝  ╚═╝╚══════╝    │
│                                                                                             │
│            Low Latency Systems  ·  Agentic AI  ·  Quant Research  ·  SDE                    │
│                              [ IIT Kharagpur ]                                              │
└─────────────────────────────────────────────────────────────────────────────────────────────┘

LinkedIn GitHub Kaggle   uptime: always  load: high  status: building


srinjoy@iitkgp:~$ cat about.txt
  NAME     :  Srinjoy Das
  HANDLE   :  SRINJOY59
  NODE     :  IIT Kharagpur
  ROLE     :  Systems Engineer · ML/AI Engineer · Quant Dev
  FOCUS    :  Making software run faster than it has any right to
  CREED    :  If it isn't measured in nanoseconds, is it even fast?

srinjoy@iitkgp:~$ ls -la domains/
drwxr-xr-x  ⚡  low-latency-systems/
drwxr-xr-x  🤖  agentic-ai/
drwxr-xr-x  📊  quant-finance/
drwxr-xr-x  🏗️  software-engineering/
drwxr-xr-x  🧠  machine-learning/
srinjoy@iitkgp:~$ cat domains/low-latency-systems/README
  ── Low Latency & Systems Engineering ────────────────────────────────────

  Language          C++ (17 / 20 / 23) — primary weapon of choice
  Concurrency       lock-free structures, wait-free queues, atomics
  Memory            cache-line alignment, huge pages, memory pools
  CPU               SIMD/AVX intrinsics, CPU pinning, NUMA topology
  Network           kernel bypass (DPDK), zero-copy I/O, RDMA
  Profiling         perf, VTune, Valgrind, flamegraphs
  Target            sub-microsecond execution paths
srinjoy@iitkgp:~$ cat domains/agentic-ai/README
  ── Agentic AI & LLM Systems ─────────────────────────────────────────────

  Frameworks        LangGraph, CrewAI, custom orchestration layers
  LLMs              fine-tuning (LoRA/PEFT), RAG pipelines, tool use
  Inference         model quantization, batching, latency optimization
  Agents            multi-agent planning, reflection loops, memory
  Libraries         PyTorch · HuggingFace · LangChain · vLLM
srinjoy@iitkgp:~$ cat domains/quant-finance/README
  ── Quantitative Finance ─────────────────────────────────────────────────

  Strategies        statistical arbitrage, mean reversion, momentum
  Derivatives       options pricing — Black-Scholes, Heston model
  Risk              VaR, CVaR, Greeks, portfolio optimization
  Infrastructure    real-time market data feeds, order management
  Backtesting       event-driven simulation frameworks
  Data              tick data processing, feature engineering
srinjoy@iitkgp:~$ cat domains/software-engineering/README
  ── Software Engineering ─────────────────────────────────────────────────

  Backend           Django · FastAPI · Node.js · REST · GraphQL
  Frontend          React · TypeScript · Tailwind CSS
  Databases         PostgreSQL · Redis · MongoDB · SQLite
  Infra             Docker · Linux · Kafka · CI/CD pipelines
  Design            distributed systems · system design · microservices

srinjoy@iitkgp:~$ uname -a  # tech stack

Languages

C++ Python C TypeScript JavaScript SQL

AI / ML

PyTorch TensorFlow HuggingFace LangChain scikit-learn NumPy Pandas

Web & Backend

Django FastAPI React Node.js

Infra & Tools

Linux Docker Git PostgreSQL


srinjoy@iitkgp:~$ ps -ef --sort=-%cpu | head -8   # what's running
  UID        PROCESS                              STATE     PRIORITY
  ──────────────────────────────────────────────────────────────────
  srinjoy    low_latency_cpp_optimization         running   RT
  srinjoy    agentic_ai_framework                 running   high
  srinjoy    hft_strategy_backtester              running   high
  srinjoy    competitive_programming              running   normal
  srinjoy    ml_model_experiments                 running   normal
  srinjoy    full_stack_project                   sleeping  low

srinjoy@iitkgp:~$ ping linkedin.com -c 1
  PING linkedin.com — 1 packet transmitted

  Interested in:
    → Low latency / HFT infrastructure challenges
    → Agentic AI & LLM-powered systems
    → Quantitative research & algo trading
    → Hard engineering problems

  Reply from: linkedin.com/in/srinjoy-das-174648202
  RTT: fast

Connect


"Premature optimization is the root of all evil — but late optimization is just embarrassing."

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