AI / Machine Learning Engineer · Senior · 10+ yrs

Vikram Anand

Principal ML Engineer / Head of AI

Bengaluru, India vikram.anand@proton.me +91 90080 47193 linkedin.com/in/vikram-anand-ai github.com/vikramanand

Professional summary

AI leader and ML architect with 12 years building machine learning platforms and production systems at scale. Sets ML strategy across LLM, NLP and recommendation systems, leads teams of 10–20 engineers and scientists, and ties model investments to revenue and efficiency. Drove research-to-production programs, built the MLOps platform behind dozens of models, established model governance and responsible-AI practices, and mentors engineers into staff and lead roles.

1.5B

Inferences served per day

₹38Cr

New ARR from LLM copilot

Engineers & scientists led

Skills

Leadership

AI strategy & roadmapTeam building (10–20)Hiring & mentoringStakeholder & C-suite alignmentModel governance & responsible AI

ML architecture

LLM & RAG systemsRecommender systemsDistributed trainingFeature & vector platformsReal-time inference at scale

Stack

PythonPyTorchTensorFlowHugging FaceRaySparkscikit-learn

Platform & MLOps

AWSGCPKubernetesKubeflowMLflowTerraformObservability (Datadog, OpenTelemetry)

Work experience

Principal ML Engineer & Head of AI Platform · Lumora AI

Mar 2019 – Present

Bengaluru

Lead a 17-person AI org (engineers + scientists) owning the ML platform behind 40+ production models serving 1.5B inferences/day.
Set the LLM strategy and built a RAG-based copilot that drove ₹38 crore in new ARR and cut customer support cost 28% across the product suite.
Architected a unified MLOps platform (Kubeflow, MLflow, feature store) that cut median model-to-production time from 6 weeks to 5 days for every team.
Reduced GPU training and inference spend ~₹6 crore/year via distributed training on Ray, quantization and right-sized autoscaling on Kubernetes.
Established model governance — bias audits, eval gates and an LLM red-teaming program — adopted as company-wide policy ahead of enterprise compliance reviews.
Hired 12 engineers and scientists and grew 5 into staff/lead roles; instituted the research-to-production review used across the AI org.

ML Lead / Senior Data Scientist · Cobalt Retail Group

Jun 2015 – Feb 2019

Gurugram

Led a team of 7 building demand-forecasting and pricing models (PyTorch, scikit-learn) across 1,200 stores, lifting forecast accuracy 19% and freeing ₹14 crore in working capital.
Stood up the first production ML pipeline and CI/CD for models, taking the team from quarterly notebooks to weekly automated retraining.

Data Scientist / ML Engineer · Earlier roles — TCS Research, Mu Sigma

2013 – 2015

India

Built NLP and classical ML models across banking and analytics products; promoted twice for delivery and technical depth.

Education

M.S. Machine Learning

2013

Indian Institute of Science (IISc), Bengaluru

Specialization in statistical learning and optimization

B.Tech Computer Science

2011

National Institute of Technology (NIT) Trichy, Tiruchirappalli

Certifications

AWS Certified Machine Learning – Specialty

Amazon Web Services · 2021

Google Cloud Professional ML Engineer

Google Cloud · 2020

Selected achievements

Drove ₹38 crore in new ARR with an LLM-powered product copilot built research-to-production in under two quarters.

Cut ML infrastructure spend ~₹6 crore/year via distributed training, quantization and autoscaling.

Speaker, PyData Bangalore 2024 — "Governing LLMs in production: evals, red-teaming and guardrails."

Advises 2 AI startups on ML architecture; mentor at a women-in-ML fellowship.

See the work in 3D

Explore Vikram's interactive WebGL portfolio — projects, skills and a way to get in touch.

Open the 3D portfolio