Manoj Vohra is a Solutions Architect with 16 years of IT experience, currently shaping Adobe’s Big Data and AI architecture from Gurugram. He designs scalable hybrid and multi-cloud systems, data lakes, streaming and batch analytics pipelines, and end-to-end ML workflows with hands-on expertise in Hadoop, Spark, Delta Lake, Confluent, Talend, MLflow and Azure ML. At Adobe he led PB-scale distributed data movement and query engines across object stores and designed data governance and discovery frameworks that underpin enterprise analytics. He has also built GenAI solutions using LLM quantization, adapter tuning and multi-hop RAG optimizations to enable production-grade real-time inference. Trained in electronics and advanced data science, he combines deep engineering chops with practical product-focused solutions and a track record of creating in-house integration tools and orchestration patterns.
10 years of coding experience
12 years of employment as a software developer
BE, Electronics & Tele Communications, BE, Electronics & Tele Communications at Career Institute of Technology & Management
PGD, Capital & Financial Markets, PGD, Capital & Financial Markets at Indian Institute of Foreign Trade
Advance Program in Data Science, Computational and Applied Mathematics, Advance Program in Data Science, Computational and Applied Mathematics at Indian Institute of Management, Calcutta
Contributions:21 PRs, 68 pushes, 61 branches in 8 years 11 months
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