Mithul Mani
AI Solutions Architect
Bengaluru,KA
Summary
Seasoned AI professional with 15+ years of experience designing and deploying AI/ML solutions across automotive, aerospace, and IT consulting. Skilled across the full ML lifecycle, including GenAI, with expertise in building scalable pipelines for cloud, edge, and on-prem environments. Proven impact through global onsite deployments, including renewable forecasting solutions and advanced mobility analytics for leading organizations.
Overview
15
15
years of professional experience
Work History
Principal Solution Architect - AI & ML
PwC
Bengaluru, KA
12.2025 - Current
- Led the architectural design of agentic AI systems for the automation of quality assurance and the evaluation of agents' behavior.
- Developed a PII framework for agentic AI systems that could mask or redact personal information from the exposure of LLMs.
- I mentored about five junior AI engineers, fostering skill development and knowledge sharing within the team.
Senior Architect Data Science
Tredence Analytics
09.2025 - Current
- Designed and optimized large‑scale Databricks pipelines for automated model training and data preparation, reducing recurrent job failures by enforcing schema validation, configuration modularization, and adaptive partitioning.
- Built robust Spark‑based ETL pipelines on Azure/OneLake using Delta Lakes to process multi‑country sales and product hierarchy data (~100M+ records) with improved runtime stability and resilience.
Principal Data Scientist
Oracle Global Services
02.2024 - 09.2025
- Architected and led a 10-member development team for a contract understanding solution leveraging vector search, NLP-based open search, ML modeling, and instruct fine-tuning of LLMs to extract and categorize labor contract data for HCM teams.
- Design and develop advanced AI/ML solutions, while mentoring junior members and conducting customer demos.
- Redesigned and scaled a Retrieval-Augmented Generation (RAG) system by implementing a reranker and dynamic top-k chunk selection, improving performance and overcoming limitations of previous models.
- Spearheaded the deployment of a real-time object detection system using YOLOv5 on NVIDIA Nano edge devices for a municipal client, enabling underwater drone garbage monitoring and elimination.
Senior Lead Data Scientist
Siemens Technology
01.2023 - 02.2024
- Developed high-accuracy machine learning models to forecast solar and wind power generation by leveraging historical weather data, solar radiation, wind speed, and other key environmental factors.
- Applied unsupervised learning algorithms, including k-means clustering, to segment commercial buildings based on energy consumption patterns, enabling targeted energy efficiency strategies that resulted in significant cost savings.
- These models were developed and deployed on-prem for a government authority in Riyadh, Saudi Arabia.
- Led the creation of a proof of concept for anomaly detection in industrial machinery using sensor data and machine learning, building predictive maintenance models to identify potential failures early and reduce downtime.
Data Scientist
Volvo Trucks R&D
01.2018 - 01.2023
- Led end-to-end ML lifecycle for fleet energy management: data ingestion, feature engineering, model training, evaluation, and deployment.
- Developed regression and ensemble models (Random Forest, XGBoost) to predict electric-truck energy consumption with 8% MAPE.
- Designed semi-supervised algorithms for Li-ion battery end-of-life prediction, extending pack service life by 10% through proactive replacements.
- Engineered features from driver telematics and vehicle CAN-bus data to improve fuel-consumption model accuracy by 12%.
Data Analyst
Volvo Trucks R&D
11.2015 - 01.2018
- Performed exploratory data analysis on truck telematics and fuel-usage logs to identify key factors affecting efficiency.
- Built descriptive and diagnostic reports in SQL and Python (Pandas), automating weekly dashboards in PowerBI for operations teams.
- Developed time-series models (ARIMA, exponential smoothing) to forecast monthly fuel consumption and maintenance costs.
Senior Quality Analyst
TAAL Tech
02.2014 - 11.2015
- Improved product quality by implementing rigorous testing protocols and identifying areas for improvement.
Quality Assurance Analyst
Geometric Pvt Ltd
11.2011 - 02.2014
- Streamlined QA processes for increased efficiency and reduced time spent on redundant tasks.
Education
Ph.D. - Computer And Information Sciences
BITS Pilani
Goa 06.2026 - Current
PGD - Advanced AI & LLM Ops
Indian Institute of Science
Bengaluru10.2024
PGD - Data Science & ML Ops
Learnbay - IBM
Bangalore06.2019
M. Tech - Statistics
Birla Institute of Technology And Science
Pilani06.2017
B.E - Mechanical Engineering
Sapthagiri College of Engineering
Bangalore07.2011
Skills
Machine Learning
Deep Learning Frameworks
Natural Language Processing
Generative AI
MLOps
Python
Agentic AI
Accomplishments
- Customer Desirability Award, Volvo Hackathon: ML-based solution to optimize electric vehicle charging station placement.
- Runner up – Most Productive Application, Oracle Hackathon: Created a fully automated generative AI-powered pre-sales copilot.
Timeline
Ph.D. - Computer And Information Sciences
BITS Pilani
06.2026 - Current
Principal Solution Architect - AI & ML
PwC
12.2025 - Current
Senior Architect Data Science
Tredence Analytics
09.2025 - Current
Principal Data Scientist
Oracle Global Services
02.2024 - 09.2025
Senior Lead Data Scientist
Siemens Technology
01.2023 - 02.2024
Data Scientist
Volvo Trucks R&D
01.2018 - 01.2023
Data Analyst
Volvo Trucks R&D
11.2015 - 01.2018
Senior Quality Analyst
TAAL Tech
02.2014 - 11.2015
Quality Assurance Analyst
Geometric Pvt Ltd
11.2011 - 02.2014
PGD - Data Science & ML Ops
Learnbay - IBM
M. Tech - Statistics
Birla Institute of Technology And Science
B.E - Mechanical Engineering
Sapthagiri College of Engineering
PGD - Advanced AI & LLM Ops
Indian Institute of Science