AI Engineer

Open to full-time

Bio

Abid A. is an AI Engineer with several years of experience in designing and building enterprise-grade systems and data pipelines. He is proficient in Python, Django, FastAPI, C++, SQL, and React.js, using these technologies to build REST APIs, integrate platforms, and implement secure API solutions. Abid has a strong background in cloud-native architectures, utilizing AWS services like EC2 and S3, and deploying applications with Docker, Vercel, and Heroku. His expertise extends to PostgreSQL, MySQL, Oracle, and FAISS vector databases, with a focus on containerization, CI/CD, and version control using Git and GitHub. At PencilLabs, Abid designed backend APIs for AI assistants, implementing RAG pipelines for semantic retrieval and integrating WhatsApp-based AI agents with business systems. At SupplySeek, he built automated data pipelines for AI-generated content distribution, ensuring consistency and validation across databases. His work at Navforward involved optimizing data pipelines and backend systems to handle high-throughput APIs and asynchronous workloads. Abid holds a Bachelor of Computer Science from Lahore Garrison University and certifications in Artificial Intelligence and Cyber Security. He is well-suited for roles that involve developing robust AI, data, and backend engineering solutions.

Expertise

PythonFast APISQLReactAWSC++Relational DatabaseDatabase CachingGitNext.js

Video Intro

Assessments

General Project Assessment

(73/100)

Great on Implement LRU Cache AlgorithmMedium
Great on Understanding Rate Limiting in APIsEasy
Great on Ensuring Real-time Data Accuracy in Mobile AppMedium

Projects

PencilLabs

Designed backend APIs to integrate organizational, scheduling, and transactional data with AI assistants. Implemented RAG pipelines by indexing structured enterprise data into vector databases for semantic retrieval. Integrated WhatsApp-based AI agents with business systems using secure, scalable API pipelines. Deployed services using Docker and cloud platforms to support multi-tenant usage.

SupplySeek

Built automated data pipelines for AI-generated product broadcasts distributed via email and WhatsApp. Ensured consistency and validation between transactional databases and AI-generated content.

VideoCraft Tool

Implemented preprocessing pipelines for large-scale video datasets used in GAN-based models. Optimized data flow between storage, processing services, and AI inference components.

Experience

Senior Python Engineer
NavforwardJan 2025 — Present
- Architected and developed scalable backend systems using Python (Django/FastAPI), handling high-throughput APIs and asynchronous workloads.
- Designed and optimized data pipelines for ingestion, transformation, and validation of large-scale enterprise datasets.
- Built and maintained RESTful APIs with authentication, rate limiting, and secure integrations with third-party services.
- Implemented background task processing using Celery and Redis to improve system performance and reliability.
- Optimized database queries and schema design in PostgreSQL to reduce latency and improve overall system efficiency.
- Containerized applications using Docker and deployed on AWS with CI/CD pipelines to ensure scalable and fault-tolerant deployments.
PythonDjangoFastAPISQLREST APIsCeleryRedisPostgreSQLDockerAWS
Senior AI Engineer
TuringJun 2025 — Dec 2025
- Designed and implemented scalable data pipelines to ingest, validate, and enrich enterprise data for AI and LLM-based platforms.
- Built Retrieval-Augmented Generation (RAG) frameworks using embeddings and vector databases (FAISS) to improve factual accuracy of AI agents.
- Developed secure REST APIs for integrating AI services with internal tools, third-party platforms, and cloud services.
- Containerized AI and data services using Docker and deployed on cloud infrastructure (AWS) to ensure portability and scalability.
- Implemented data quality checks, logging, and observability to ensure reliable AI outputs in production environments.
- Collaborated closely with IT, data, and product teams to align AI solutions with operational and business objectives.
Data PipelinesETL ConceptsREST APIsDjango REST FrameworkDockerAWS
Software Engineer
DevsincJan 2023 — Jun 2024
- Developed backend services and data APIs using Django and REST Framework for enterprise and AI-enabled applications.
- Implemented ETL-style workflows for synchronizing data between PostgreSQL databases and external systems.
- Worked with cloud environments (AWS) for deploying and managing backend and data-driven services.
- Used Docker for consistent development, testing, and deployment across environments.
- Ensured API security, data validation, and error handling following secure-by-design principles.
DjangoREST FrameworkETLPostgreSQLAWSDocker