Abhishek Kumar Mishra
Manager, Data Science & Ml Ops @Collinson Group
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WORK HISTORY
Manager, Data Science & Ml Ops @Collinson Group
SG
Led the 0→1 design and delivery of a unified Data & AI platform integrating Snowflake, AWS, Spark, and Prefect, enabling scalable ML development and cross-team workflow orchestration.2. Designed and delivered ML systems focused on scalable forecasting and consumer/customer insights, including a centralized feature store that powered internal use cases and was exposed as a commercial capability to external clients.3. Owned platform architecture and end-to-end MLOps (CI/CD for models, versioning, monitoring, governance), reducing ML deployment time by ~60% and infrastructure costs by ~80%.4. Took ML and GenAI systems from concept to production, embedding them into decision-critical and customer-facing workflows in regulated environments.5. Partnered closely with product and business stakeholders to translate ambiguous requirements into technical architectures, while guiding teams on design trade-offs and execution.6. Led and scaled a globally distributed team of 10–12 data scientists and ML engineers across Singapore, India, and the UK, setting technical direction, operating cadence, and quality standards.
EDUCATION
Maharahja Surajmal Institute Of Technology
Bachelor of Technology (B.Tech.), Electronics and Communications Engineering
Kendriya Vidyalaya
High School, Science, Mathematics
ABOUT ABHISHEK KUMAR MISHRA
I am a senior leader in data, ML, and AI with 12+ years of experience building production-grade platforms, commercializing ML and GenAI products, and leading global teams across fintech and enterprise environments.I specialize in taking data and ML systems from experimentation to scale—owning platform architecture, applied ML, and MLOps to deliver reliable outcomes in regulated and high-stakes contexts, including large-scale, distributed ML systems. My work spans ML platforms, distributed training, CI/CD for models, data governance, and GenAI systems (RAG, LLM-based analytics).My scope includes 0→1 and scale-up Data & AI platforms (Databricks, Snowflake, AWS, Spark, Prefect), applied ML across forecasting, personalization, and fraud, and leadership of distributed teams across Singapore, India, and the UK. I have led and scaled teams of 10–12 data scientists and ML engineers while remaining hands-on in architecture and critical technical decisions.Signature achievements1. Built a unified Data & AI platform, reducing ML deployment time by ~60% and infrastructure costs by ~80%.2. Took multiple ML and AI products from concept to revenue, generating $1M+ in multi-year commercial contracts across recommendation systems and scalable forecasting solutions.3. Delivered production ML and GenAI systems embedded into customer-facing and decision-critical workflows.4. Established MLOps standards, auditable and compliant ML systems, model governance, and operating cadence across globally distributed teams.I am interested in roles where I can own data and AI systems end-to-end—setting technical direction, scaling teams, and delivering durable business impact through platforms rather than one-off solutions.
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