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codeshark2/README.md

Hi, I'm Kshitij 👋

Senior full-stack engineer building production AI systems end-to-end — from retrieval pipelines and model serving to the UI that people actually use. I care about latency, reliability, and observability.


🔭 What I'm working on

  • LLM applications — RAG, agents, tool-use, structured outputs
  • Inference infra — serving open and closed models with sane cost/latency tradeoffs
  • Eval & observability — because "vibes-based" prompting doesn't survive production
  • Full-stack delivery — typed APIs, streaming UIs, and the boring glue that makes them ship

🧠 AI / LLM Stack

Anthropic OpenAI Hugging Face LangChain LangGraph LlamaIndex DSPy MCP vLLM Ollama PyTorch TensorFlow CUDA

Vector & Retrieval Pinecone Weaviate Qdrant pgvector

Eval & Observability LangSmith Langfuse W&B Ragas


🛠 Application Stack

Languages Python TypeScript JavaScript

Frontend React Next.js Redux

Backend FastAPI Django Node.js RabbitMQ

Data PostgreSQL Redis MongoDB DynamoDB Supabase Airflow

Cloud & Infra AWS GCP Azure Docker Kubernetes Terraform GitHub Actions


📫 Get in touch

LinkedIn Email

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    A voice AI testing harness. It lets you spin up a real-time voice pipeline (ASR → LLM → TTS), try different providers, interrupt it, observe how it behaves, and measure latency — without wiring up …

    TypeScript 1

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    Voice AI agent for inventory rental automation using LiveKit. Features state machine workflows, deterministic behavior and end-to-end voice pipelines

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    AI-powered brand intelligence platform (Spice) that analyzes web signals to track brand visibility, sentiment, and market performance. Production-ready with FastAPI, Next.js 14, and full CI/CD pipe…

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  4. real-time-voice-chatbot real-time-voice-chatbot Public

    A real-time voice-enabled chatbot that leverages Vosk for offline speech-to-text, OpenAI ChatGPT for conversation, and OpenAI TTS for text-to-speech responses.

    Python 1

  5. Adversarial-attack-on-LLMs Adversarial-attack-on-LLMs Public

    Forked from aneekroy/llm-attacks-overview

    We Try to run llm attacks on two llms namely: llama-2 and Vicuna ,and try to compare the results and find discrepancies in the attacks.

    Jupyter Notebook

  6. FinancialModelingAndAnalysis FinancialModelingAndAnalysis Public

    Implementation and analysis of financial models for: 1. ARIMA 2. PCA 3. SVM 4. SVR

    Jupyter Notebook