INITIALIZING — PROSPECT ENGINE

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I build systems that work while you sleep.

AI backend engineer — agentic pipelines, LLM orchestration, local inference. Creator of Prospect, an autonomous job-prospecting engine that reads the morning papers before I wake up.

11-STAGE PIPELINE · 15–20 GB SCANNED DAILY · RUNS ON MY OWN HARDWARE

Noida, India · open to remote worldwide

SYSTEM / 01 — PROSPECT

An autonomous job-prospecting engine.

Every morning, Prospect scans newspapers with OCR, extracts job postings with LLMs, matches them against persona-scoped resumes with semantic search, and delivers ranked alerts to Telegram. A multi-agent system — scanner, context engine, generation runtime, tracker — built and run on my own hardware.

No job boards, no third-party crawlers. Prospect reads the same newspapers a human would — then does the part humans skip. It OCRs every page, extracts each posting with an LLM, embeds and scores it against persona-scoped resumes, and writes the ranked shortlist to my phone. Eleven stages, running unattended on hardware I own.

SCAN → EXTRACT → EMBED → MATCH → GENERATE → DELIVER

RUNNING LOCALIN DEVELOPMENTRESEARCH
11 STAGES·15–20 GB / DAY·5 COMPONENTS
Read the system breakdown →

SYSTEM / 02 — TRAVEL PLANNER AGENT

An agent that survives its own failures.

An agentic AI travel planner with a deterministic memory layer, a custom model router, and an async circuit breaker — when cloud APIs degrade, it falls back to local Ollama inference and keeps streaming. Deployed on a k3s multi-node cluster with full Prometheus/Grafana observability.

Cloud APIs degrade. Rate limits hit. This agent is built for that moment: a deterministic memory layer so retries never repeat work, a router that picks the right model per task, and an async circuit breaker that swaps to local Ollama inference mid-stream — the response never stops. Deployed on a k3s multi-node cluster with Prometheus and Grafana watching every request.

K3S MULTI-NODE·CIRCUIT BREAKER·SSE STREAMING
Read the system breakdown →

Where the systems shipped

Stack

AI / Backend

Python · FastAPI · LangGraph · LangChain · LLM tool calling · RAG pipelines · Ollama · llama.cpp · Pydantic · Node.js

ML / CV

PyTorch · OpenCV · OCR & layout detection · CNN training · Stable Diffusion / LoRA inference

Frontend

Next.js · React · TypeScript · Tailwind · Zustand · Three.js

Data

PostgreSQL · Redis · MongoDB · Pinecone · ChromaDB · FAISS · SQLite

Systems / Ops

Linux · Docker · k3s · AWS · GCP · Prometheus/Grafana · ZFS · CI/CD

Embedded

C++ · ESP32 · Arduino · FPGA (Xilinx) · I2C/SPI/UART · BLE

Verifiable elsewhere

Peer-reviewed: Autonomous Firefighting Vehicle, IJFMR 2024.

Open source: added llama.cpp and NVIDIA NIM provider support to interviewstreet/hiring-agent.

GitHub: 1400+ contributions in the last year