Padmanabhan Ayyaswamy

Associate Consultant

Bengaluru, Karnataka, India8 yrs 11 mos experience

AI ML PractitionerAI Enabled

Key Highlights

9+ years in data engineering and analytics.
Expert in building scalable data pipelines.
Strong track record in stakeholder engagement.

Stackforce AI infers this person is a Data Engineering and AI specialist with a focus on Business Intelligence solutions.

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Skills

Core Skills

Business Intelligence (bi)Artificial Intelligence (ai)Data EngineeringTeam LeadershipMachine LearningData Visualization

Other Skills

Power BISnowflakeData MigrationAI AgentsTensorFlowKafkaData ModelingETLData ProcessingAzureTeam BuildingPublic SpeakingPyTorchFPGATableau

About

Data professional with 9+ years of experience in data engineering, business intelligence, and artificial intelligence. Skilled in building scalable data pipelines and analytics solutions that deliver actionable business insights. Strong background in applying machine learning and GenAI to automate analytics workflows and enhance forecasting. Focused on leveraging deep technical expertise to solve real-world challenges in data-driven environments, with a strong track record in stakeholder engagement and delivering measurable business impact. I love solving analytical problems. A never-ending thirst for learning keeps me up at night! >> my_approach = "PROACTIVE SERENDIPITY" Indian classical music is close to my heart. I perform in concerts as a percussion artist (Mridangam). I enjoy meeting new people and hearing a new perspectives. Feel free to reach out to me if you want to talk about tech, sports, or music!!

Experience

8 yrs 11 mos

Total Experience

3 yrs 5 mos

Average Tenure

7 mos

Current Experience

Emerson

Senior Strategic Consultant - Data Engineering & Analytics

Nov 2025 – Present · 7 mos · Bengaluru · Hybrid

Lead the design, development and maintenance of scalable data pipelines and governed data assets across Snowflake and DBT
Delivered business-critical executive dashboards in Power BI for strategic decision making, reducing manual reporting effort by 50%
Drove enterprise data migration initiatives - Qubole -> Snowflake & Tableau -> Power BI improving query performance by 30–40%
Built multi-agent AI system with external web-search on Foundry for procurement material classification, reducing purchase delay by 25%
Enabled Agentic AI solutions using MCP, A2A and GenAI for critical documentation & analytics workflows improving data literacy by 20%
Developed ML-powered predictive Customer Lifetime Value (CLV).
Partnered with VP-level stakeholders across BUs to identify KPIs and North Star metrics, improving data accuracy and reliability by 30%.

Business Intelligence (BI)Artificial Intelligence (AI)

Intel corporation

Software Development Engineer

Jun 2022 – Nov 2025 · 3 yrs 5 mos · Bengaluru, Karnataka, India

Spearheaded the end-to-end data analytics solutions, including Kafka streaming ingestion, data modeling and ELT/ETL pipelines, improving data extraction and productive capacity by 30%
Built a Quartus Design Analytics dashboard using Power BI on a Snowflake (Bronze-Silver-Gold) architecture, streamlining data flow, enhancing analytics accuracy & saving validation time by 2 hrs/design
Developed System Data Recorder (SDR) app to process real-time telemetry data from Intel CPUs, reducing CPU validation time by 25%
Deployed SDR Test Error Inference Machine Learning (Multi-class classification) model on Azure cloud achieving 88% overall accuracy
Incorporated TinyML based image classification inference on Intel FPGAs using Tensorflow Lite, reducing inference time by 2 sec/task

Data EngineeringTensorFlow

Optica iitm student chapter

President

Jun 2020 – Jun 2022 · 2 yrs · Chennai, Tamil Nadu, India

Led a team of five students to collaborate with eminent researchers to conduct multiple webinars that gathered a combined 500+ attendees.
Established and maintained sponsorships with the Optica to conduct multiple outreach programs at underprivileged schools.

Team LeadershipTeam Building

Indian institute of technology, madras

Junior Research Fellow

Jul 2017 – Jun 2022 · 4 yrs 11 mos · Chennai Area, India

Designed transformer-based ML models for real-time laser phase error correction, improving laser phase control precision by 15%
Deployed Machine Learning models on FPGA boards for laser phase control, boosting output efficiency by 35% through precision tuning
Adapted lightweight LLMs using Hugging Face Transformers and PyTorch, reducing inference latency by 10% on Edge Devices
Created Tableau & Grafana dashboards for laser system diagnostics, reducing analysis time by 40% enabling real-time anomaly detection
Containerized ML inference with Docker, reducing failures by 20%
Managed over 5 projects, accelerating the project completion speed by 25% and ensuring timely achievement of critical milestones

Machine LearningPyTorch