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Resume

Pranav Sharma

Senior AI Engineer — Production ML Systems
Heilbronn, Germany • Frankfurter Str. 46, 74072 Heilbronn
Phone: +49-15163776610 • Email: pranavsharma619@gmail.com
LinkedIn: linkedin.com/in/topranav

Pranav Sharma portrait

Profile

Senior AI Engineer focused on operationalizing machine learning in enterprise settings — from baselines and model development to reproducible evaluation, deployable artifacts, and decision-grade system integration. Hands-on experience with rolling backtesting/benchmarking, probabilistic forecasting (quantiles) and calibration validation, plus deployment support in Kubernetes environments. Strong record in mentoring juniors/students and translating ML work into structured, teachable workflows.

Professional Experience

Senior AI Engineer — ebm-papst (Heilbronn)

03/2024 – Present

Demand Forecasting (Baselines → ML → Probabilistic) | 2025

  • Built end-to-end demand forecasting for replenishment/safety stock using baselines + ML + probabilistic outputs.
  • Projected to reduce manual forecasting by ~100 person-hours/month globally as rollout scales.
  • Standardized evaluation (MAE + |Bias|) and rolling backtesting across methods and horizons; baseline control layer.
  • Implemented quantile forecasts and validated calibration, including conformal evaluation (coverage vs width trade-off).
  • Benchmarked foundation-model approaches vs classical + ML baselines; tuned training and hyperparameters.

B2B Pricing Recommendation & Optimization | 2024

  • Deployed ML pricing recommendations for negotiation start prices; standardized pricing decisions for sales teams.
  • Automated pricing workflow, reducing manual analysis by ~40 hours/month.
  • Built demand/response models + optimizer under guardrails; validated via offline backtesting.
  • Enabled interpretable drivers and what-if sensitivity; supported Kubernetes deployment + Hugging Face artifacts.

Research Associate — Hahn-Schickard (Villingen-Schwenningen)

08/2018 – 02/2025

  • Achieved 91% accuracy in hyperspectral skin lesion classification using transfer learning; contributed to securing follow-on research funding of €1.5M+.
  • Led development of a deep learning multi-class classifier for hyperspectral data in collaboration with research partners.
  • Designed a reinforcement learning agent to improve Kubernetes cluster throughput and operational efficiency.
  • Implemented AI techniques (K-means, federated learning, explainable AI) for hyperspectral imaging and silicon wafer analysis.
  • Managed resources to enable a cost-neutral 6-month project extension despite price increases; supervised/mentored 3 Master’s students.

Assistant Systems Engineer — Tata Consultancy Services (TCS) (Noida, India)

10/2013 – 04/2015

  • Handled 3–5 maintenance tickets for a billing operations application (Sears Corporation).
  • Developed frontend components in Qt/C++ and extended backend functionality using SQL.

Education

M.Sc. Mechatronics Engineering — Hochschule Ravensburg-Weingarten

10/2015 – 03/2018

  • Grade: 1.8 (Germany)
  • Relevant coursework: Artificial Intelligence, Robot Learning, Robotics
  • Master’s thesis: Automatic maneuver selection using reinforcement learning (IAV GmbH) — Grade: 1.2
  • Internship: Automated Markov-based decision making (IAV GmbH)

B.Tech. Electronics and Instrumentation Engineering — SRM University

07/2009 – 06/2013

  • Grade: 7.136 (India)
  • Relevant coursework: Artificial Intelligence & Expert Systems, Industrial Automation, Engineering Economics & Management
  • Internship: Attitude Determination and Control Subsystems (SRM Nanosatellite Lab)

Publications & Projects

  • Data-driven modelling of an indirect photoacoustic CO₂ sensor — IEEE APSCON, Goa (2024)
  • Temporal behavior analysis: impact of combined temperature and humidity variations on a photoacoustic CO₂ sensor — IEEE APSCON, Goa (2024)
  • Deep learning in resource- and data-constrained edge computing systems — ML4CPS, Berlin (2020)
  • Mobile Autonomous Robot System (MARS) — Hochschule Ravensburg-Weingarten (Germany)
  • SRMSAT (Nano-Satellite) — SRM University (India)

Awards & Honors

  • Certificate of Commendation — SRM University & Indian Space Research Organization (ISRO)
  • Founder’s Scholar — SRM University

Certifications

  • Generative AI Engineering with LLMs Specialization — IBM
  • Generative Adversarial Networks (GANs) — DeepLearning.AI
  • Computer Vision Expert Nanodegree — Udacity
  • Deep Learning Specialization — DeepLearning.AI
  • Google Advanced Data Analytics Specialization — Google
  • Project Management Professional (PMP) — PMI
  • AI Product Management Specialization — Duke University

Skills

  • Programming: Python, SQL, C++, Qt
  • Machine Learning / AI: Machine Learning, Deep Learning, Transfer Learning, Reinforcement Learning, Explainable AI
  • Forecasting: Statistical baselines, ML forecasting, probabilistic forecasting (quantiles), conformal evaluation
  • MLOps / Systems: Kubernetes (deployment support), rolling backtesting/benchmarking, reproducible artifacts (Hugging Face)