Anant Agarwal

DevOps Engineer

Bengaluru, Karnataka, India6 yrs 6 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in building scalable LLM-based agents.
Strong analytical foundation from IIT Madras.
Proven track record in predictive modeling.

Stackforce AI infers this person is a Data Engineering and AI specialist in the SaaS industry.

Contact

aggarwal.anant1997@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringLarge Language Models (llm)Artificial Intelligence (ai)Predictive Analytics

Other Skills

Agent-based ModelingAnalytical SolutionsApache SparkApplied Machine LearningBig Data AnalyticsCausal InferenceCritical ThinkingData AnalysisData ScienceData VisualizationDeep LearningLarge Language Model Operations (LLMOps)Linear ModelsMachine LearningMachine Learning Algorithms

About

An experienced GenAI Engineer builds advanced AI Agents and workflows to enable sophisticated data solutions. This includes designing and developing critical data integrations, using protocols like MCP, and building scalable LLM-based agents and bots. Platforms such as Snowflake Cortex and Gemini Agentspace can be used to enable the Data Engineering team to deliver high-quality data products from both unstructured and structured data. Collaboration with cross-functional teams delivers innovative products that streamline business processes and drive business growth. With a postgraduate degree in Data Science from IIT Madras, they bring a strong analytical foundation to solve complex challenges. Building on prior experience in predictive modeling and market analysis at Rally OurBus, they continue to design AI-driven tools that streamline processes and empower data-driven decision-making.

Experience

Rubrik

GenAI Engineer

Sep 2025 – Present · 6 mos · Bengaluru, Karnataka, India · On-site

Designed and developed data integrations using MCP protocols and traditional data extraction methods to support LLM-based Agents and bots.
Leveraged tools like Snowflake Cortex and Gemini Agentspace to build scalable and efficient data solutions for AI workloads.
Ensured high data quality, integrity, and scalability for large-scale AI workloads, supporting the development and deployment of generative AI models.
Collaborated with business teams, data engineers, and application developers to create products that streamline business processes and drive revenue growth.
Integrated GenAI data pipelines with existing infrastructure to enable seamless data flow and advanced analytics.

Agent-based ModelingLarge Language Models (LLM)Multi-agent SystemsLarge Language Model Operations (LLMOps)Deep LearningData Engineering

Microsoft

2 roles

Data scientist 2

Promoted

Aug 2022 – Sep 2025 · 3 yrs 1 mo

Developed autonomous decision-making systems leveraging agentic AI and multi-agent systems to enhance operational efficiency.
Created an innovative auto-prompt writing and tuning framework, achieving 5x cost savings for specific tasks.
Implemented MLOps and constructed knowledge graphs on internal data, powering RAG and other platforms for improved data utilization.

Large Language Models (LLM)Artificial Intelligence (AI)Applied Machine LearningMachine LearningDeep LearningData Engineering+8

Data Scientist

Mar 2021 – Aug 2022 · 1 yr 5 mos

Developed a multivariate time series explainable anomaly detection system to identify invoicing discrepancies.
Created a recommender system to enhance product suggestions for sales agents, improving customer engagement.
Collaborated with cross-functional teams to ensure the accuracy and reliability of data-driven solutions.

Analytical SolutionsMultivariate AnalysisData EngineeringPredictive AnalyticsApplied Machine LearningLinear Models+1

Rally ourbus

Data Scientist

Sep 2019 – Mar 2021 · 1 yr 6 mos · New Delhi, Delhi

Analyzed cause and effect relationships between business decisions and market behavior to drive strategic insights.
Developed a predictive agent that adapts to market changes, incorporating cofounding biases for accurate demand forecasting.
Successfully transferred market success factors, enhancing performance across diverse markets and maximizing potential.

Analytical SolutionsMultivariate AnalysisData EngineeringPredictive AnalyticsLinear Models

Thapar university

Research And Teaching Assistant

Jun 2019 – Jun 2019 · 0 mo · Patiala Area, India

Delivered expert lectures on Deep Learning concepts, including Artificial Neural Networks, CNNs, and RNNs, to approximately 150 students.
Engaged students through interactive teaching methods, enhancing their understanding of complex topics.
Developed course materials and resources for Keras, ensuring comprehensive coverage of essential frameworks.

Bennett university

Deep Learning Intern

May 2018 – Jul 2018 · 2 mos · Leading India, Bennett University

Developed a cutting-edge Fake News detection model utilizing a CNN-LSTM architecture, achieving an impressive F1 score of 0.91.
Ranked 4th in a competitive deep learning workshop, showcasing my skills among industry and academic professionals.
Collaborated with a diverse team at Bennett University, enhancing my understanding of deep learning applications in real-world scenarios.

Delhi metro rail corporation ltd

Machine Learning Intern

Jun 2017 – Jul 2017 · 1 mo · New Delhi Area, India

Analyzed deep learning infrastructure for driverless metro rail systems, bridging research and practical implementation.
Collaborated with cross-functional teams to enhance model efficiency and accuracy, ensuring safety and reliability.
Developed insights that informed strategic decisions, contributing to the advancement of automated transit solutions.