RAG-Driven AI R&D Engineer and Co-op Leader

DHRUV PRATAP SINGH

513-***-**** • *******@****.**.*** • LinkedIn • GitHub • Google Scholar

EXPERIENCE

AI R&D Co-op Siemens DISW – Advanced Solutions January 2025 – August 2025 RAG Pipeline & Developer Enablement CSQ Platform

• Productized a Gemini-based Customer Security Questions (CSQ) validation platform used by 100+ engineers; standardized multi-file review with PDF/text parsing and inline feedback.

• Designed prompt workflows with semantic chunking, retrieval (RAG-style), and confidence scoring; added functional checks and logging for fast failure isolation.

• Drove releases via GitLab branching/merges and code reviews; published runbooks/templates that standardized release notes and cut review iterations by 80% across teams. Agentic Framework Development MCP + A2A Tools

• Built 5+ modular MCP tools (REST) and integrated them with Google’s A2A protocol using the A2A SDK and LangGraph for multi-agent interoperability.

• Hosted MCP services and ran A2A agents with live tool responses; resolved agent-comms bugs, validated outputs, and designed reusable agent-router-orchestrator architecture with quick start docs for team-wide adoption. Software Developer Co-op Siemens DISW – AdvantEdge AI Team May 2024 – August 2024

• Owned 'Work Smarter with AI' developer enablement program; drove 3 adoption in 12 weeks by pairing with squads, delivering workshops and playbooks — rated Partially Exceeded, recommended for rehire.

• Automated intake/reviews with Power Automate + SharePoint, streamlining article submissions and approvals.

• Led Agile/Scrum syncs across Germany, China, and India; conducted code reviews and mentored 3+ co-ops; delivered all milestones ahead of schedule.

• Built a chatbot PoC to improve knowledge-article search UX; authored/peer-reviewed AI content to uplift productivity. Research Assistant College of Engineering and Applied Sciences January 2024 – Present

• Curated and cleaned the dataset (CSV/Docs to Pandas); designed a prompt–outcome–quadrant schema

• Generated summary statistics and figures (category prevalence and exemplary snippets) and authored results linking prompt patterns and design performance.

• Poster accepted to the Undergraduate Scholarly Showcase (Vol. 6); citation indexed on Google Scholar Python Workshop Instructor Co-op College of Engineering and Applied Science January 2023 – May 2023

• Delivered 10+ Python/SQL workshops to 150+ students; built hands-on labs in Google Colab/Jupyter and provided 1:1 support.

• Developed and refined hands-on materials using Google Colab, Jupyter Notebooks, and ARC Cluster. PROJECTS

LLM Fine-Tuning for Molecular Property Prediction— OMID USA August 2025 - Present View Project

• AI Model Training: fine-tuned ChemBERTa-3 transformer on 80K OPV molecules from NREL database; achieved R =0.84 bandgap prediction accuracy using Morgan fingerprints; processed 1M+ SMILES via MoLFormer architecture.

• End-to-End Pipeline: deployed PyTorch and DeepChem for molecular property prediction; processed 1M+ polymer SMILES from PI1M dataset; maintained model reproducibility and experiment tracking throughout the full training lifecycle.

Curricular Complexity Study — Credit-Loss & Pathway Design August 2025 - Present View Project

• Built AI-driven AS to BS credit transfer analyzer and credit-loss calculator supporting Dr. Reeping’s research.

• Developed Gradio UI for plan merging and automated Excel export for curricular complexity studies. SKILLS

• GenAI & Agentic: LLM Fine-Tuning, HuggingFace Transformers, LangChain, LangGraph, MCP, A2A SDK, LLM Orchestration, Function-Calling, Prompt/Policy Libraries, RAG Pipelines, Vector Databases, Semantic Chunking, Confidence Scoring

• ML: PyTorch, DeepChem, MoLFormer, ChemBERTa, Morgan Fingerprints, SMILES Processing

• Languages & Frameworks: Python, JavaScript, HTML5, CSS3, VBA, MATLAB, C++, R

• Methodologies: Agile/Scrum, BDD-based Testing, Code Reviews, Unit & Integration Testing, Experiment Tracking, Runbooks

• Data & Modeling: Pandas, NumPy, SQL, NoSQL, Data Chunking, Embedding, Semantic Search, Vector Stores

• Cloud & DevOps: AWS (Lambda, API Gateway, DynamoDB), Docker, Kubernetes, Terraform, GitLab CI/CD, REST APIs

• Tools & Platforms: Power Automate, SharePoint, Gradio, Jupyter Notebooks, Google Colab EDUCATION

• University Of Cincinnati Graduating: May 2026

Bachelor of Science, Computer Science - GPA: 3.5

AWARDS & CERTIFICATIONS

• Top 10 Finisher, Intern Impact Award Siemens Digital Industries Software: Recognized among 250+ interns nationwide for outstanding contributions and impact.

• Senior 100 (UC Alumni Association, 2026) CEAS Scholarship UC Global Outreach Scholarship

• Certifications: Level Up Python, Hands-on SQL, Prompt Engineering for Generative AI

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