Karthik Perikala
( THE HOME DEPOT )
Generative AI leader driving real-world applications with Retrieval-Augmented Generation (RAG), LangChain, LangSmith, and cutting-edge LLMs like Gemini Pro, Gemini Flash, GPT-4, GPT-4 Turbo, and GPT-4o. Deep expertise in prompt engineering, agent orchestration, and building scalable AI platforms using Google Vertex AI and Azure OpenAI.
Powering advanced search platforms with LLM and SLM-based query understanding, semantic search, and intent classification. Experienced in designing and deploying real-time, context-aware systems that enhance search relevance and retrieval quality.
Over 18 years of experience in software application design, development, and administration across all phases of the SDLC. Proficient in building and scaling ML and big data pipelines using Google Cloud technologies—Dataflow, Dataproc, Bigtable, BigQuery, Pub/Sub, Datastore, Spanner, GKE, Cloud Run, and FeatureStore.
Expertise in modern vector store technologies for semantic search, recommendation, and retrieval. Hands-on with Vertex AI Vector Search, BigQuery Vector Search, Bigtable-based embeddings, Elastic Vector Search, DataStax AstraDB, FAISS, Spotify Annoy, and NMSLib for high-performance similarity search at scale.
Skilled in MLOps with Vertex AI Pipelines, Vertex SDK, Cloud Composer (Airflow), and Model Registry. Experienced with MLflow for model tracking and reproducibility in hybrid environments. Strong background in feature engineering, model monitoring, and evaluation.
Extensive experience developing Python microservices using Flask (Gunicorn) and FastAPI (Uvicorn). Skilled in Big Data technologies such as Apache Beam, Spark, Hadoop, MapReduce, Hive, and HBase. Proficient in search platforms like Elasticsearch and SOLR.
Deep expertise in designing and deploying knowledge graphs using Neo4j, DataStax DSE Graph, JanusGraph —supporting graph-based reasoning, relationships, and context-aware applications.
In-depth understanding of NoSQL databases (Hbase,Bigtable, Cassandra),Document Stores and RDBMS databases (Oracle, Postgres, MySQL, DB2, SQL Server, Netezza). Expert in SQL, PL/SQL, and performance tuning.
Proficient in Java enterprise development (J2EE, Spring Boot, Hibernate, Micronaut). Known for leading cross-functional teams, delivering AI and data platforms at scale, and solving complex enterprise challenges through innovative architecture and technology leadership.
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ICST 2026 | IIT Patna, India | August 01-02, 2026