Phanindra Parashar
Summary
I am a GCP Certified Professional Machine Learning Engineer with 4.5+ years of experience building AI systems that balance research depth with production scale. My strength lies in understanding how modern models work beneath the surface, which allows me to move beyond standard libraries and design complex solutions when needed. A strong mathematical background shapes my technical approach, while my entrepreneurial experience has taught me to think like a product owner, focusing on impact, accountability, and collaboration in every project.
Overview
8
8
years of professional experience
1
1
Certification
Work History
Machine Learning Engineer
Netconomy Germany GmbH
Dortmund
07.2025 - Current
- Custom RAG Chatbot (E-commerce): Built a multilingual chatbot with LangChain & LangGraph using advanced retrieval and OCR for product documentation.
- Dialogflow CX Prototype: Delivered a 2–3 week generative AI proof of concept with Dialogflow CX & Vertex AI Agents for customer support.
- Google Cloud ML Demos: Led demand forecasting (70+ locations) and fairness-aware pricing with full ML lifecycle from pipelines to retraining.
- Mentorship and Communication: Guided junior data scientists, and authored client-facing white papers and presentations.
- Tools & Technologies: LangChain, LangGraph, Dialogflow CX, Vertex AI, Google Document AI, LlamaParse, TensorFlow, XGBoost, BigQuery, Docker, Terraform, SHAP, Vertex AI Vizier.
Sr.Data Scientist
VLYBY Digital
München
08.2021 - 06.2024
- Stock Footage Recommendation & Classification: Built a GPT-4o Vision–powered recommendation engine for stock footage and a zero-shot IAB classifier (~73% accuracy across 26 categories).
- Revenue Optimization at Scale: Designed ML pipelines on 85+ TB of data (25M daily users), combining time-series models and heuristics to optimize ad-delivery sequences, achieving ~16% revenue uplift via A/B testing.
- Anomaly Detection & Monitoring: Developed real-time anomaly detection with forecasts, statistical models, and dashboards to prevent revenue loss, and protect publisher reputation.
- Tools: GPT-4o Vision, OpenAI Embeddings, Pinecone, BigQuery, PySpark, XGBoost, CatBoost, PyMC3, AWS SageMaker, AWS Lambda, AWS EC2, Looker Studio.
Data Science Intern
Bosch
Stuttgart
09.2020 - 08.2021
- Hierarchical RL for Trajectory Planning: Researched autonomous vehicle planning with PPO/PPOC, building simulations and training agents in PyTorch/TensorFlow.
- RL Foundations for LLMs: Gained expertise in policy optimization and hierarchical decision-making relevant to LLM fine-tuning.
CEO & CTO
Renen Agery
Bangalore
06.2017 - 09.2019
- Entrepreneurial Leadership & Problem Solving: Co-founded and led an agri-tech startup, developing carbon-fiber harvesters before pivoting to supply-chain logistics with cost optimization and rental-based models; gained expertise in opportunity identification, stakeholder management, and practical solution design.
Education
Master of Science - Data Science
RWTH Aachen University
Germany09-2019
Bachelor of Engineering Mechanical Engineering - Mechanical Engineering
SRM University Kattankulathur
Kattankulathur, Tamil Nadu06-2017
Skills
- Generative AI & LLMs: LangChain, LangGraph, Dialogflow CX, Vertex AI Agents, Pinecone, ChromaDB RAG, re-ranking, HyDE, query augmentation, agentic workflows
- Machine Learning & Deep Learning: TensorFlow, PyTorch, Scikit-learn, XGBoost, CatBoost Time series (LSTM, Transformers), Bayesian methods, Reinforcement Learning (PPO, PPOC), XAI & fairness modeling
- Cloud & MLOps: Google Cloud (Vertex AI, BigQuery, AutoML), AWS (SageMaker, Lambda, EC2), Databricks (PySpark) CI/CD, Docker, Terraform, SQL-based ETL & pipeline optimization
- APIs, Visualization & Tools: FastAPI, Streamlit, Plotly, Pandas, SQL, Looker Studio Git, GitHub, GitLab, Slack Webhooks
Languages
English
Proficient (C2)
C2
German
Elementary (A2)
A2
Certification
Google Cloud Professional Machine Learning Engineer – January 2025
Validated expertise in designing, building, and productionizing ML models on Google Cloud; skills include ML pipeline development, model optimization, deployment, monitoring, and MLOps best practices.
Accomplishments
- Research Gold Medal, SRM University (2014–2017): Recognized for exceptional analytical and problem-solving skills in mathematics.
- Propulsion Lead, Infi Alpha (2017): Led the propulsion team to the semi-finals of the SpaceX Hyperloop Global Competition.
Timeline
Machine Learning Engineer
Netconomy Germany GmbH
07.2025 - Current
Sr.Data Scientist
VLYBY Digital
08.2021 - 06.2024
Data Science Intern
Bosch
09.2020 - 08.2021
CEO & CTO
Renen Agery
06.2017 - 09.2019
Master of Science - Data Science
RWTH Aachen University
Bachelor of Engineering Mechanical Engineering - Mechanical Engineering
SRM University Kattankulathur
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