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Adarsh Gouda.

Technology Project Manager

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About

Who I Am

Adarsh Gouda

Technology and engineering project manager with 15+ years leading cross-functional teams to deliver complex electromechanical and software-enabled products from concept through commercialization. Deep experience across prototype builds, industrialization, and quality in harsh environments (downhole tools, rotating machinery, monitoring systems) and production shops. Inventor on multiple subsurface monitoring and energy-harvesting patents; licensed P.Eng and PMP with master’s degrees in Mechanical Engineering and Computer Science (AI/Robotics).

Profile

Core Strengths

  • Expert
    New Product Development
  • Expert
    Program Portfolio Leadership
  • Strong
    Control Systems
  • Strong
    Quality Systems
  • Advanced
    Data, AI/ML
More Projects Get In Touch
Portfolio

What have I been up to lately?

Look here for a collection of my latest projects, exercises, articles, and more.

Img via Pixabay

Solving 1D Burgers' Equation - Finite Difference vs Neural Network

#3: Discourse on Deep Learning Techniques for Engineering Physics
Numpy, PyTorch
Finite Difference Method, PINNs
Img via Pixabay

Solving 1D Diffusion Equation - Finite Difference vs Neural Network

#2: Discourse on Deep Learning Techniques for Engineering Physics
Numpy, PyTorch
Finite Difference Method, PINNs
Img via Pixabay

Solving Navier Stokes with Stable Fluids Algorithm in Python

#1: Discourse on Deep Learning Techniques for Engineering Physics
PhiFlow, Python, Pylab
Stable Fluids
Img via Pixabay

Predicting Oil Production Trends using Deep Learning to Appraise Oil Wells

Oil Production Prediction
TensorFlow, LSTM, Conv1D, Dense
Time-Series, Regression
Img via Pixabay

Gesture Recognition from Video Sequences

Time Distributed 2DCNN-LSTM Architecture
TensorFlow, OpenCV2, sklearn
Gesture Recognition
Img via Pixabay

RUDRA.v3

ROS Unified Differential-drive Remote-mode Autonomous-robot
Robot Operating System, C++, Python
Teensy, Intel NUC, YDLiDAR
Img via Pixabay

Stock Price Prediction

Learning a strategy that will predict the price for a stock based on historical price action
Python, Machine Learning, Indicators
Img via Pixabay

Defect Detection by Segmentation

Automatic detection of abnormalities by machine learning for optical inspection quality control.
Python, Segmentation, U-Net
Img via Pixabay

RUDRA.v2

ROS Unified Differential-drive Remote-mode Autonomous-robot
Robot Operating System, C++, Python
Teensy, Jetson Nano, RPLiDAR
Img via Pixabay

Deep Q-Learning

LUNAR LANDER
Deep Q-Network, OpenAI Lunar Lander-v2
Img via Pixabay

RUDRA.v1

ROS Unified Differential-drive Remote-mode Autonomous-robot
Robot Operating System, C++, Python
Arduino, Jetson Nano, RPLiDAR
Img via Pixabay

Incrementally Understanding Sutton

Temporal Difference Learning
Random Walk Experiment
Image via Pixabay

Design Optimization with Neural Nets

Article on Medium
Img via Pixabay

Multiagent Q-Learning

Correlated Q-Learning
Two-Player Zero-Sum Markov Game
Img via Pixabay

RANS Turbulence Models

Turbulence Models for Design Engineers
Computational Fluid Dynamics
Img via Pixabay

Fault Tree Analysis

Root Cause Analysis
Quality, Reliability, Design, Failures
Img via Pixabay

Vedic Method of Problem Solving

Engineer's Dharma
Img via Pixabay

1# Regression Modeling: Intro

Accurate Approximate Engineering Models
Img via Pixabay

2# Regression Modeling: Methodology

Accurate Approximate Engineering Models
Img via Pixabay

3# Regression Modeling: Validation Run

Accurate Approximate Engineering Models
Areas Of Expertise

What Can I Do?

Experience in Product Innovation, Mechanical Design, 3D CAD, Engineering Simulations (FEA/CFD), Electronic Prototyping, Machine Learning, Robot Operating System (ROS), Python programming, Product Lifecycle Management, and Project Management.

Resume

Experience & Education

Cross-disciplinary leadership across downhole tools, electromechanical systems, and AI-enabled control, with end-to-end ownership from concept to commercialization.

Work Experience

Technology Project Manager — CTD Navigator

Mar 2025 – Present

SLB, Well Construction – Measurements, Houston, TX

Lead the CTD Navigator continuous-rotating orienter program, combining a custom annular PMSM motor, high-ratio cycloidal gearbox, sensorless motor control, and a new surface control architecture to extend CTD reach and improve steering in highly tortuous wells. Own multi-year roadmap, PDE/M&S budgets, Go/No-Go milestones, de-risking plans, and integration with existing product lines.

Technology Project Manager — Katana 3DFF Acoustic Imaging

Oct 2024 – Present

SLB, Well Construction – Measurements, Houston, TX

Lead Katana, an LWD deep-formation acoustic imaging program delivering 3D far-field subsurface imaging using upgraded electronics, memory, and processing workflows robust to drilling noise, tool rotation, and depth constraints. Manage CLM plan, requirements, and field-test strategy, bridging R&D algorithms with productized Sonic LWD workflows.

Technology Project Manager — ConnectLTB

Oct 2024 – Present

SLB, Well Construction – Measurements, Houston, TX

Own ConnectLTB, a modular surface-to-downhole connectivity system that standardizes interfaces, reduces rig-up complexity, and shortens flat time across rigs and product lines. Define installation standards, qualification test plans, and phased rollout into existing fleets in collaboration with process, quality, and operations teams.

Engineering Project Manager — Automatic Downlinker

Jan 2023 – Sep 2024

SLB, High Efficiency Center of Excellence, Katy, TX

Led cross-functional development and commercialization of a rig-agnostic, Zone-1 certified surface automation system for mud-pulse downlinking. Planned prototype builds, lab testing, and international field trials, achieving ~99% downlink success and ~98% correlation while enabling remote operations and reduced crew exposure. Deployed across land and offshore rigs under budget and on schedule; contributed to SLB Bronze Award semi-finalist “Autonomous Directional Drilling with DD40”.

Quality Systems & Manufacturing Lead — Mud Motors

Mar 2019 – Dec 2022

SLB, Nisku, Canada

Owned quality systems for a mud-motor manufacturing center, including ISO 9001:2015 recertification, CLMS rollout with high compliance, and internal/supplier audits. Led non-conformance management, structured RCAs, 3rd-party failure analyses, and Lean/VSM projects. Authored and maintained 30+ CLMS procedures covering non-conformance control, supplier quality, QA metrics, internal audits, production scheduling, traceability, training, and business continuity.

NPD Mechanical Engineer & Rapid Response PM — Production Systems

Aug 2013 – Mar 2019

SLB ALS Product Center, Singapore

Managed rapid-response NPI projects that resulted in commercialized downhole monitoring gauges (CTS6000 cable-to-surface, xt150-to-surface, REDACoil slim gauges, discharge remote base gauges). Led mechanical design for a next-generation UNUM-compatible gauge platform, delivered four concepts with AHP-based architecture selection, and defined sensor qualification strategy. Performed CFD/FEA studies for erosion, pressure containment, and structural integrity.

Senior NPD Engineer — Electrical Automation & Metering

Nov 2009 – Jul 2012

Larsen & Toubro, Mysore, India

Project leader for four commercialized industrial energy meters (three-phase DIN, smart, prepaid, and single-phase smart meters), owning end-to-end mechanical design from concept to tooling and volume production. Designed tamper-resistant mechanical architectures and presented “Tamper Proof Mechanical Designs for Industrial Energy Meters” at ELECRAMA 2011.

Education

M.Sc., Computer Science

2024

Georgia Institute of Technology, USA

Master of Science in Computer Science with focus on Artificial Intelligence, Machine Learning, Robotics, and Computer Vision.

Business Sustainability Management (Exec Education)

2025

University of Cambridge, CISL, UK

Certificate in Business Sustainability Management from the Cambridge Institute for Sustainability Leadership, focusing on climate risk, sustainable strategy, and systems thinking.

M.Sc., Mechanical Engineering

2013

Nanyang Technological University, Singapore

Master’s degree in Mechanical Engineering with specialization in Naval Architecture and Computational Fluid Dynamics, including hydrodynamics, turbulence modelling, and simulation of complex flows.

B.E., Mechanical Engineering

2009

Bangalore University, India

Bachelor of Engineering in Mechanical Engineering with foundational training in machine design, manufacturing, thermodynamics, and control systems.

Patents & Technical Writing

Selected IP & Publications

Inventor and author across subsurface monitoring, energy harvesting, and AI/ML-driven engineering workflows.

Selected Patents & IP

  • Base gauge and multiple remote sensors — US Patent 10 329 894 (2019). Downhole base gauge with multi-drop remote sensing for monitoring multiple parameters along an ESP string.
  • ESP motor oil quality monitoring gauge — US Patent Application 2018/0347346. In-situ oil condition monitoring inside an ESP motor via immersed sensing probe.
  • Multiple internal invention disclosures on downhole power generation, vibration and thermal energy harvesting, corrosion monitoring, RPM/direction gauges, and autonomous electro-mechanical gas-lift valves (9+ internal filings).

Selected Publications & Technical Writing

  • Internal design and simulation reports including Automatic Downlinker mechanical design and CFD/FEA investigations, REDACoil intake erosion mitigation, and Monte Carlo schedule simulations for NPI projects.
  • External technical articles on deep Q-learning and correlated-Q learning, CFD of bubbly flow and impingement cooling, neural networks vs finite-difference solutions of Burgers’ and diffusion equations, deep learning for surface defect detection, and AI ethics framed through Patanjali’s Yogasutras.
Contact

Let's Talk.

I’m open to staff/lead Technical Program Manager or Engineering Manager roles in energy, robotics, and AI-enabled hardware programs.

Location

Houston, TX, USA

Email

adhi.pesit@gmail.com

LinkedIn

linkedin.com/in/adarshgouda