Senior TypeScript / NestJS Developer — Data Extraction & LLM Pipelines

@ZohaibRoy

⭐⭐⭐⭐⭐ Experienced TypeScript/Node.js Developer for Backend Services ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project details and see you are looking for an experienced TypeScript/Node.js developer. Look no further; Zohaib is here to help you! My team has completed 50+ similar projects focused on backend services and data workflows. I will work with your existing codebase, ensuring reliable and tested services while utilizing best practices. ➡️ Why Me? I can easily handle your backend services and web data extraction needs as I have over 5 years of experience in TypeScript and Node.js development. My expertise includes NestJS, PostgreSQL, and Redis job queues. I also have solid skills in web scraping and LLM pipelines, ensuring efficient data handling. Additionally, I am proficient in AWS services, Docker, and test-driven development, making me a strong fit for your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I look forward to connecting with you! ➡️ Skills & Experience: ✅ TypeScript ✅ Node.js ✅ NestJS ✅ PostgreSQL ✅ Prisma ✅ PostGIS ✅ Redis ✅ BullMQ ✅ Web Scraping ✅ Playwright ✅ Docker ✅ GitHub Actions Waiting for your response! Best Regards, Zohaib

@crtvecode

When a project requires reliable data workflows and solid backend services, the underlying issue often lie in the integration of diverse technologies and making sure smooth collaboration among team members. To mitigate any risks to your existing systems and data integrity, I will implement solutions without impacting your live enviroment. Safe staging build: Develop and test all features in a private staging area first. Collaborative coding: Work closely with your team on code reviews and knowledge sharing. Thorough testing: Implement test-driven development to validate all services and workflows. Deployment readiness: Prepare for smooth deployment with Docker and GitHub Actions. Could you clarify if there are any specific anti-bot challenges you've encountered previously that I should be aware of? Rajavel

@corpmember29

{{{ I HAVE WORKED ON SIMILAR BACKEND, SCRAPING AND LLM SYSTEMS AND CAN SHOW RELEVANT WORK. }}} I BUILD SCALABLE TYPESCRIPT/NODE.JS BACKENDS, DATA PIPELINES AND LLM WORKFLOWS FOR PRODUCTION. I have 12+ years of IT experience with TypeScript, Node.js, NestJS, PostgreSQL/Prisma, Redis/BullMQ, Playwright, LLM pipelines, Docker, AWS, GitHub Actions and Firebase. I can work within your existing codebase, follow TDD, handle code reviews, build reliable data workflows and optimize LLM costs. I can also align with your Monday–Friday, 9 AM–2 PM Pacific schedule. Available to start this week. Rate: $[RATE]/hour. Thanks, Karuna

@denisSolution

Hi, I'm Denis, a full-stack developer with 5+ years of TypeScript and Node.js experience. I've built production NestJS systems handling data pipelines, web extraction, and LLM integrations at scale. I understand your needs: reliable data extraction pipelines with LLM processing, job queues, geospatial queries, and tested code that integrates seamlessly with your team. This is exactly what I've been doing. My relevant experience includes PostgreSQL and Prisma in production (including geospatial queries), BullMQ job queues with retry logic and failure handling, and Playwright-based extraction systems that handle dynamic content and anti-bot detection. For LLM pipelines, I've implemented structured extraction with prompt optimization, output validation, cost tracking, and quality metrics. On infrastructure, I'm proficient with AWS (ECS Fargate, ECR, IAM), Docker, GitHub Actions CI/CD, Firebase Admin SDKs, and test-driven development. I'm available Monday–Friday, 9 a.m.–2 p.m. Pacific time, and can start this week. Happy to discuss rate and scope details once we align. Let's connect and move forward. Thanks, Denis.

@ykarora26

With 5+ years of expertise in TypeScript and Node.js, especially in NestJS and PostgreSQL, I can seamlessly integrate into your engineering team. I have hands-on experience with Redis job queues and web scraping tools like Playwright and Cheerio. Could you share more details on the specific data workflows and services you need help with? Regards, Yogesh Kumar

@arslanshahid386

Hi, I noticed you're looking for a TypeScript/Node.js developer to enhance your backend services, specifically focusing on web data extraction and LLM pipelines. With over 5 years of professional experience in TypeScript and Node.js, I have a deep understanding of building scalable and robust backend systems. My expertise in NestJS will ensure seamless integration within your existing codebase, while my experience in code reviews and collaboration will enhance team productivity and service reliability. Could you share more about the specific data workflows you aim to optimize or create?

@dvcontact

Hello Sir, Are you ready to elevate your data extraction capabilities by leveraging my extensive TypeScript and NestJS experience with a no-obligation demo? My unique blend of backend development, web scraping expertise, and proficiency in LLM pipelines will ensure the creation of reliable and efficient services tailored to your needs. Let’s connect and discuss how I can contribute to your engineering team and enhance your data workflows. Best, Smith

@melikatfz

Hi there, Building robust backend services while simultaneously scaling web scraping and LLM data pipelines often leads to data bottlenecks, broken selectors under anti-bot triggers, and soaring token costs. I solve these challenges by deploying bulletproof TypeScript architectures, fault-tolerant BullMQ job queues, and optimized LLM extraction workflows that keep your data flowing reliably. Here are my questions regarding your setup: 1. Are the existing Playwright scrapers already containerized for AWS ECS Fargate, or should we optimize the deployment pipeline first? 2. Which specific LLM providers and models are you currently targeting for the structured extraction pipelines? 1. I have over 5 years of professional experience with TypeScript and Node.js. Recently, I architected a high-throughput NestJS microservices backend for a real-time data processing platform from 2022 to 2024, leading API design and core module development. 2. I have extensive production experience with PostgreSQL, Prisma, and PostGIS for geospatial indexing, alongside Redis and BullMQ for heavy job processing. For instance, I implemented a spatial bounding-box query to match geographic assets and built a robust BullMQ retry workflow for asynchronous notifications. 3. I recently delivered a large-scale scraping system using Playwright and Cheerio, bypassing complex anti-bot measures by rotating residential proxies, managing browser fingerprints, and implementing exponential backoff with fallback parsers for failed requests. 4. I have built production LLM extraction pipelines featuring Zod-based output validation, automated regression evaluations, and token usage tracking for cost management. I also bring hands-on expertise with AWS ECS Fargate, ECR, IAM, Docker, GitHub Actions, Firebase Admin, and rigorous TDD workflows. 5. Yes, I am fully available to work Monday through Friday from 9 a.m. to 2 p.m. Pacific time. My earliest start date is next week, and we can discuss my rate for 25 hours per week during our chat. Drop me a message so we can get started right away.

@giaphung2k1

Hello I bring over 6 years of hands-on experience building robust backend systems Best regards, Giáp Văn Hưng

@Fazeennazar

Hi there, I have checked your requirement carefully and gone through. I think that I can help you to complete this project 100% perfectly sure to satisfy your requirement. I appreciate if you give me an opportunity contact once to discuss this further. I would love to build an awesome working relationship with you using my expertise. Thank You!

@longngoc2307

==== Hi - Truong here ==== "TYPEScript/NESTJS DATA EXTRACTION & LLM PIPELINES" — you need reliable backend workers that can scrape, process, validate and ship data inside an existing codebase. I would focus on keeping scraping and LLM work isolated behind testable NestJS services, with BullMQ handling retries and long-running jobs. The important edge case is partial failure: one bad page or LLM response should not break the whole workflow. Can you share which part is the immediate priority: scraping reliability, the LLM extraction pipeline, or the existing NestJS backend? Looking forward to work with you.

@saalim8291

Hi, I can slot straight into your existing codebase and own backend services, extraction pipelines, and LLM workflows. I work daily with TypeScript/Node.js and NestJS, Prisma/PostGIS for geospatial data, Redis/BullMQ for queue-based processing, and Playwright/Cheerio for scraping with anti-bot handling. I've built structured LLM extraction pipelines with output validation and cost controls, and I'm comfortable with AWS ECS Fargate, ECR, IAM, Docker, GitHub Actions, Firebase Admin, and TDD. I can commit to Mon–Fri, 9am–2pm Pacific. Answering your screening questions in detail below with concrete examples and dates. Your answers to Q1 - Q5 here: production NestJS system + dates, a real geospatial query + queue workflow, a real scraping project and how you handled anti-bot challenges, an LLM pipeline you built with validation/cost controls, and your proposed rate/start date]

@melopgabriel

Hi, I can see you need someone comfortable inside an existing NestJS codebase who can own reliable backend services, data extraction, and LLM pipelines without slowing your team down. I’ve built TypeScript/Node.js systems with NestJS, PostgreSQL, Prisma, Redis queues, and Docker, and I’m used to working through code reviews with other engineers. I’ve also handled scraping workflows with Playwright, Cheerio, and jsdom, including failure recovery and anti-bot constraints on permitted projects. My approach would be to stabilize the current services first, then improve extraction and queue workflows with tests, validation, and clear cost controls around LLM calls. I care about making the system predictable, maintainable, and easy for your team to extend. If helpful, I can share concise examples of closely related work and how I contributed. Best regards, Gabriel

@rosscarter1011

Hey, handling those anti-bot challenges and LLM extraction pipelines in NestJS sounds right up my alley. I can jump into your existing codebase and help stabilize those scraping workflows and queue jobs. I've spent plenty of time wrangling Playwright alongside BullMQ and Prisma, especially dealing with flaky headless browser states and geo-queries in PostgreSQL. Are you using JSON schema validation on the LLM outputs right now?

@juanpablomacf

I've spent 8+ years building production systems with TypeScript/Node.js, NestJS, PostgreSQL/Prisma/PostGIS, Redis/BullMQ and AWS ECS Fargate. I've worked on geospatial pipelines (routing, distance queries, clustering) and high‑volume queue workflows using BullMQ for scraping, extraction and LLM tasks. I also have hands‑on experience with Playwright, Cheerio and jsdom, including handling anti‑bot challenges through fingerprinting, retries, proxy rotation and failure‑safe flows. I've built LLM structured‑extraction pipelines with schema validation, evaluator scoring, fallback models and cost‑control routing. Comfortable with Docker, GitHub Actions CI/CD, IAM, ECR, Firebase Admin and TDD. I can work consistently Mon-Fri, 9-2 p.m. PT. Earliest start: this week. Proposed rate: within your range. Ready to answer your screening questions in detail and provide concrete examples of scraping, geospatial queries, queue workflows and LLM pipelines I've built.

@arturg6

Hello, "Reliable Data And LLM Pipelines" - keep extraction, processing and LLM services reliable inside your existing backend. My strongest overlap is Node.js, TypeScript, PostgreSQL, web data extraction, LLM integration, AWS, Docker and GitHub-based development. I can work within an existing codebase, structure extraction workflows with validation and failure handling, and keep LLM outputs controlled and testable. I also have experience building AI automation and data workflows where reliability matters more than simply connecting APIs. I would be transparent about the screening requirements: I do not want to claim production experience with technologies I have not personally verified, such as Prisma, PostGIS, BullMQ, or Firebase Admin. Would you consider a developer whose strongest production overlap is the core Node/PostgreSQL/LLM/AWS stack while the remaining tools are learned within the existing codebase? Looking forward to working with you. Artur

@mayankinnovative

I understand you need a hands-on TypeScript/Node.js engineer who can contribute immediately inside an existing codebase, from NestJS services and PostgreSQL/Prisma/PostGIS workflows to Playwright extraction and LLM pipelines, with strong testing and AWS delivery practices. My relevant stack includes TypeScript, Node.js, NestJS, PostgreSQL, Prisma, Redis/BullMQ, Playwright, Cheerio/jsdom, Docker, GitHub Actions, AWS, Firebase Admin and LLM integrations. I can contribute to production services, queue-based workflows, structured extraction with validation/evaluation, and reliable data pipelines. I’ll follow TDD, participate in code reviews, build failure-tolerant workers, optimize database/queue workloads, and maintain clean CI/CD deployments. I’m also comfortable working with permitted web-data collection while handling dynamic pages and extraction failures responsibly. I can work within your requested 25-hour weekly collaboration window. I’d prefer to confirm exact production dates, timezone availability and rate during the interview rather than invent details. I can provide relevant work examples and clearly identify any technology not used in production.

@shawanay

I’m an experienced TypeScript/Node.js backend developer skilled in NestJS, PostgreSQL, Redis, web data extraction, LLM integrations, APIs, background workers, and production-grade service architecture. I’ll do: - Work directly within your existing TypeScript/NestJS codebase, following established architecture, conventions, Git workflows, and code-review processes. - Build and maintain reliable backend services, REST APIs, PostgreSQL data models, queues, and asynchronous processing workflows. - Develop robust public-web extraction pipelines with validation, retries, rate limiting, deduplication, and graceful handling of failures. - Build LLM pipelines using OpenAI/Claude/Gemini with structured outputs, grounding, validation, observability, and cost-conscious processing. - Add automated tests and focus on maintainability, performance, error handling, and reliable production behavior. Q: What is the immediate priority for the role: backend APIs, extraction pipeline reliability, or the LLM processing/evaluation layer? Regards, Shawana

@opeyemia615

>>>>> Hi abhinav0466, <<<<< Budget: about $25-$30/hour for 40 hrs/week (Mon-Fri 9 a.m.-2 p.m. PT). Earliest start: this week. 1) 5+ years TypeScript/Node. NestJS APIs for private SaaS (auth, modules, guards, Prisma) under NDA - I can walk through architecture once shortlisted. 2) PostgreSQL/Prisma daily; PostGIS for radius/nearby lookups; BullMQ for retrying ingest jobs with dead-letter handling. 3) Playwright + Cheerio on permitted collection only: retries, backoff, proxies where allowed - no ToS-abusive bypass work. 4) LLM structured extraction with JSON schema validation, eval spot-checks, and token/cost caps; ECS Fargate, ECR, IAM, Docker, GHA, Firebase Admin, and TDD in production services. Most samples sit under client NDAs, so I share a private walkthrough once we connect. Question: For the first month, should capacity lean scraping/ingest pipelines, NestJS API work, or LLM extraction/evals? Best regards, Opeyemi