Prakash Pandey — AI Researcher

As a Data Engineering Lead with a strong foundation AI-driven automation, big data technologies, and Generative AI, I’m dedicated to driving high data quality and system reliability. I am specialise in building scalable data pipelines, intelligent analytics systems, and AI-powered automation solutions. With a deep understanding of LLMs, NLP, and AI-driven content generation, I bridge the gap between data engineering and AI innovation.Throughout my career, I’ve developed a suite of frameworks and tools to tackle common data issues—addressing inconsistencies, duplication, format errors, and incomplete data. With a deep understanding of media and gaming domains, I manage end-to-end data pipelines and analytics dashboards that empower teams to monitor growth strategies and make data-driven decisions. I also leverage GenAI to create automated content, enhancing editorial efficiency and providing high-quality, engaging content for users. This has been instrumental in increasing user retention and engagement, which are essential metrics in today’s data-driven landscape. I am passionate about the intersection of AI and data engineering, driving data-powered AI solutions that empower teams with actionable insights and next-gen AI capabilities Key Highlights: ✅ Expertise in big data technologies, including HDFS, Spark, HBase, Hive, and Kafka, as well as Elastic Stack (Elasticsearch, Logstash, Kibana). ✅ LLMs & Generative AI: Experience with GPT, LLaMA,LangChain,Bedrock, and vector databases (FAISS,chromaDB). ✅ AI-Powered Automation: Leveraging LLMs for editorial efficiency & intelligent content creation. ✅ Proficient in Python , with experience in designing both real-time and scheduled data pipelines for diverse data sources. ✅ Skilled in automation with Python, enhancing workflow efficiency. ✅ Strong experience in API development using Flask.

Stackforce AI infers this person is a Data Engineering and AI Solutions expert in the SaaS industry.

Location: New Delhi, Delhi, India

Experience: 8 yrs 3 mos