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  • Freelance
  • India
  • 01:39 (UTC -12:00)

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JaguarsCodehub/README.md

$ whoami

name: Jyotindra Kallappa Tavanoji
role: Tech Lead - DevOps / AI Systems Engineer
experience: 2+ years in production systems
location: Mumbai, India
day_job: Kubernetes, Kafka, ArgoCD, HA Postgres (Patroni) @ Research Connect USA
currently:
  - building an LLM firewall for prompt-injection detection (v0 regex -> v1 semantic + pgvector)
  - building an eval harness and guardrail system for LLM pipelines
  - building an agent memory layer on LangGraph
  - exploring a self-hosted, Kubernetes-native LLM serving/gateway platform
philosophy: building in public - a peer learner, not a claimed expert
open_to:
  - AI engineering / full-stack roles at early-stage and YC-backed teams

$ tech stack

Core Languages & Backend

Go, Python, TypeScript, JavaScript, Node.js, Express, FastAPI, React, Bash

AI / Agents

LANGCHAIN · LANGGRAPH · LANGSMITH · COHERE · PGVECTOR
RAG (HyDE + hybrid search) · HITL workflows · multi-agent orchestration · context engineering

Infra / DevOps

Kubernetes, Docker, Kafka, GitHub Actions, Jenkins, Grafana, Prometheus, Git


PgBouncer, HAProxy (HA Postgres cluster), ArgoCD

Databases

PostgreSQL, Redis, MongoDB, SQLite


$ git log --stat

GitHub streak

$ echo $CONTACT

Always up for a conversation about RAG pipelines, Kafka/K8s failure modes, or GST reconciliation edge cases. Reach out via the links above.

Pinned Loading

  1. hackathon-sih hackathon-sih Public

    JavaScript 1

  2. golang-url-shortner-from-first-principles golang-url-shortner-from-first-principles Public

    Go Lang URL Shortner using Redis and Go lang to understand golang syntax and basic rate limiting implemented in go.

    Go

  3. high-throughput-order-booking-system high-throughput-order-booking-system Public

    a distributed order booking system with nodejs, express, kafka - implementing idempotency, dlq, producer - consumer logic and observability with opentelemetry and honeycomb.

    TypeScript

  4. multiagent-research-engine multiagent-research-engine Public

    The system is composed of several specialized agents: Orchestrator: Manages the workflow and delegates tasks. Doc Agent: Extracts and processes information from PDFs (10-Ks, earnings transcripts). …

    Python

  5. reinforcement-learning-game reinforcement-learning-game Public

    RL Loop: Agent and environment interact in a continuous feedback loop Q-Learning: Updates Q-values using temporal difference learning Epsilon-Greedy: Balances exploration (trying new things) vs exp…

    Python

  6. golang-sockets golang-sockets Public

    to be edited later

    Go