Anand JaiswalTechnical field atlas
Résumé

AI Engineer

Anand Jaiswal.

Building backend systems and applied ML/RAG pipelines.

View my work

Projects

Selected systems with measurable constraints and inspectable implementation details.

MiniRedis

A Redis-like C++ server with a poll() event loop, sorted sets on an order-statistic AVL tree, and heap-driven key TTLs.

  • C++
  • poll()
  • AVL tree
  • pthreads

RAG Builder

Indexed 1,174 PDF chunks into an inspectable 15.99 MB dataset for local retrieval and grounded generation.

  • Python
  • PyMuPDF
  • Sentence Transformers
  • PyTorch

FirstWeek

Indexed 46 curated sections across 5 private projects with scoped retrieval, verified citations, and 129 recorded frontend tests.

  • React
  • Express
  • FastAPI
  • LangGraph

AI PR Review Agent

Reviewed a 76-chunk repository with 4 specialist agents for $0.002247 and routed critical findings to human approval.

  • Python
  • FastAPI
  • LangGraph
  • PostgreSQL

Movie Enquirer

Searches 5,000 movies across 72,909 semantic chunks using BM25, MiniLM, and reciprocal rank fusion.

  • Python
  • BM25
  • MiniLM
  • Streamlit

MoneyPlant

Turns Telegram messages into reversible transactions through a five-minute correction window.

  • TypeScript
  • Next.js
  • PostgreSQL
  • grammY

Experience

Reverse-chronological roles, with the work and scope stated directly.

Jun 2026 — Present

AI Engineer

Talendy · Tech Japan

  • Building a production conversational service over LINE with LangGraph, FastAPI, and PostgreSQL-backed state.
  • Implementing RAG, multi-provider model routing, deterministic safety paths, PII redaction, Redis, Celery, and Docker.

Jan — May 2026

AI Engineer

Akatsuki AI Technologies

  • Shipped a streaming Next.js client used by about 8,200 users across 23,500 sessions.
  • Built provider-agnostic AI APIs, hybrid retrieval, authentication, analytics, integration tests, and CI security checks.

Oct — Dec 2025

Full-Stack Engineer Intern

AI Talent Force · acquired by Akatsuki

  • Built a responsive React and WebRTC client for a real-time AI interview product.
  • Implemented a GPU-backed service that converts streamed PCM audio into timestamp-aligned 30 FPS lip-synced video.

May — Jul 2025

Application Engineering Intern

Accenture

  • Delivered an Android client and Python computer-vision service for industrial gauge readings.
  • Processed 500+ documents daily at 91.6% extraction accuracy, reducing manual effort by 60–70%.

Skills

A five-second map of the tools behind the work above.

Languages
C++ · Python · TypeScript · JavaScript · SQL
ML & AI
RAG · LangGraph · Embeddings · Hybrid retrieval · OpenCV
Systems & Networking
TCP/IP sockets · Event loops (poll) · Multithreading (pthreads) · Binary protocols · Data structures
Backend & Infra
FastAPI · Node.js · PostgreSQL · Redis · Docker · GCP
Tools
Git · Linux · CI/CD · WebRTC

Achievements

Selected recognition for applied engineering and machine learning.

Co-inventor · Patent publication

Wearable Non-Invasive Asthma Diagnostic System

Filed by PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur on 22 July 2025; published in The Patent Office Journal (India), No. 35/2025, on 29 August 2025. Application No. 202521069749 A.

View patent publication

IIT Roorkee ML Competition · Winner

ThermaOracle

Won among 120 teams with a machine-learning model achieving 3.9 RMSE, outperforming the second-best solution by 10%.

Let’s talk.

For AI engineering roles, backend systems, or technical collaboration.