Abhishek Krishna

Technology professional with 17 years of experience in developing and designing AI-driven solutions across MLOps, Big Data Engineering, and DevOps. Expertise in leveraging AI technologies to fulfill business requirements and enhance growth. Committed to creating scalable AI systems and spearheading transformative initiatives in ICT.

• Netsurfing
• Cricket

• Passport Number: N6169889
• Date of Birth: 10/08/83
• Gender: Male
• Nationality: Indian
• Marital Status: Married

• HCL Technologies Ltd., 2009, Bestowed with Award of Excellence for outstanding technical contribution in the development of Dashboard. Cash Awards and Outstanding Performance Ratings, HCL Technologies Ltd.
• Ericsson Power Award, 2014, Star Performer for creating a business opportunity for Ericsson by using the License Audit Tool
• Ericsson Ace Award (2015, 2018, 2020), Ericsson Highest Galactic/President Award, 2021, for outstanding technical acumen, hard work, and customer-first attitude demonstrated during the implementation of big data-based True NBI solution
• Ericsson Highest Galactic/President Award, 2021, For outstanding technical acumen, hard work & customer first attitude demonstrated during implementation of big data based True NBI solution.

1. Automated Ericsson-specific code generation

• Successfully migrated manual code development to a GenAI-powered system using OpenAI GPT-4 for generating DUP code in Ericsson's proprietary programming language, significantly reducing development effort and errors
• Transformed legacy rule engines with RAG, replaced traditional rule-based systems with an agent-based Retrieval-Augmented Generation (RAG) approach, resulting in improved scalability, dynamic logic inference, and real-time adaptability of business rules

2. Intelligent document generation

• Implemented historical document-based report generation using GPT-4, enabling context-aware and auto-formatted documentation based on prior artifacts

 3. Natural language to SQL automation

• Developed an NLQ-to-SQL engine capable of translating user queries into executable SQL on MariaDB, enabling non-technical users to perform complex data operations via natural language

 4. Scalable GenAI pipeline deployment

• Designed and deployed robust Langchain and Haystack-based pipelines on Kubernetes, with support for multi-agent orchestration, enabling concurrent, multi-turn conversation workflows with contextual memory