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Talha Asif

@talhaasif1

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I build production RAG, LLM, and full-stack AI systems with Python, React, and Node.js.

Pakistan

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What I'm looking for

I'm looking to build production AI products end-to-end, combining RAG, LLM integration, backend APIs, data pipelines, and user-facing interfaces. I value work where reliability, evaluation, scalability, and real-world outcomes matter.

At Verdant Soft, I build end-to-end RAG and LLM systems for health-tech and telecom clients, from Django/FastAPI APIs and ETL pipelines to React dashboards. I integrate Google Gemini and Azure OpenAI for agentic decision-making and improve output quality through embedding optimization, reranking, and hallucination mitigation.

Previously at Cache Logic, I designed production AI applications and FastAPI microservices for a real-time cryptocurrency aggregator ingesting data from 20+ global exchanges. I used Kafka, Airflow, Snowflake, and Databricks to maintain 99.9% data accuracy, while async Python and Celery reduced server response times by 45%.

I’ve also built ML-serving infrastructure, IoT data pipelines, REST APIs, and scalable background-processing systems across Python, Django, FastAPI, Node.js, AWS, Docker, PostgreSQL, Redis, and Celery. My project work includes multi-agent LLM research, multilingual bias evaluation, and explainable healthcare risk prediction.

Experience

Work history, roles, and key accomplishments

Current

AI & Backend Engineer (Python)

Current

Verdant Soft

Apr 2024 - Present (2 years 5 months)

Built and evaluated end-to-end RAG pipelines with LangChain and Pinecone, integrated Google Gemini and Azure OpenAI APIs, and engineered low-latency Django backends with Redis and GPT-Cache.

Python Django fastAPI React Lang Chain Pinecone Ragas Gemini Azure OpenAI Redis Semantic Caching (GPTCache)DBT PostgreSQL scikit learn SHAP

Full Stack AI Engineer

Cache Logic

Jun 2022 - Mar 2024 (1 year 9 months)

Designed and built production AI applications end-to-end with FastAPI/Node.js backends and React.js frontends, architected high-throughput data systems with Kafka and Airflow, and maintained 99.9% data accuracy in Snowflake and Databricks.

Python fastAPI NodeJS React JavaScript Kafka Airflow Snowflake Databricks Redis Celery scikit learn Optuna SHAP

AI Python Developer

Tech Bridge Consultancy

Mar 2020 - May 2022 (2 years 2 months)

Architected FastAPI and Django backends as serving layers for ML models, engineered IoT data pipelines with ZKTeco devices and Raspberry Pi, and optimized PostgreSQL schemas for inference performance.

Python Django fastAPI NodeJS Lang Chain WebSockets Docker AWS PostgreSQL scikit learn SHAP Optuna

Backend Developer (Python)

Ibrahim Developers

Oct 2018 - Feb 2020 (1 year 4 months)

Built and deployed production REST APIs with Django and FastAPI, developed an IoT-powered attendance system improving operational efficiency by 40%, and optimized PostgreSQL schemas cutting data retrieval times by 35%.

Python Django fastAPI PostgreSQL Redis Docker AWS