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backend/data/llm

Suraj
Pathak

Software engineer focused on backend development, data processing, and cloud-native architecture. Comfortable owning a service end to end, including integrating LLM features into real products.

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Suraj Pathak

available

Experience

  1. 2026 — Present

    Software Engineer (AI)

    Hybrid (Part of EAB)

    • Built Brand Buddy, a RAG assistant that turns brand guidelines into queryable, per-university marketing guidance.
    • Built Template Studio, a no-code dashboard builder that composes client campaign dashboards from multiple ad and analytics sources with live preview.

  2. 2024 — 2026

    Software Engineer

    Danphe Software Labs

    • Engineered containerized ETL pipelines on Argo Workflows and EKS to automate survey aggregation and historical benchmarking.
    • Cut data processing time by 50% and moved analytics delivery to event-driven FastAPI services on SQS.

Stack

Backend
PythonFastAPIDjangoNode.js
Storage
PostgreSQLRedis
Infrastructure
AWSDockerGit
Data & LLM
LangChainScikit-LearnTensorFlow
Frontend
TypeScriptReactNext.js

Selected work

04

Recruit AI

AI candidate screening platform that ranks resumes against a job description with a detailed score breakdown. Features a voice-based AI interview that asks dynamic, LLM-judged adaptive questions and surfaces a hiring recommendation to the recruiter.

FastAPILangChainNext.jsAWSCelery

Code for Recruit AILive for Recruit AIDemo for Recruit AI
Recruit AI interface

RoadLens

Road hazard reporting platform. An AI agent verifies each photo, segments hazards with SAM, and ranks priority with reasons. Duplicate reports merge into one mapped hazard, and officers track repairs and send AI-drafted area reports to the local authority.

FastAPINext.jsPostGISOpenAI SDKSAM

Code for RoadLens
RoadLens interface

Education

2019 — 2024

Bachelor in Computer Engineering

Pulchowk Campus, IOE

Academic
  • Ncell Excellence Scholarship - Yearwise Top Student (2x winner)
  • Top student, second and third year
  • Ranked 7th out of ~18,000 in the national engineering entrance, 2019
Competition
  • Winner - NSU All Nepal Hackathon (Ed-Tech Category)