Dhruv Ladani
I'm an Associate Application Engineer (AI/ML) at Impresa.ai Consulting and a Computer Engineering graduate from Pandit Deendayal Energy University (PDEU), with a strong bias toward building products that actually help people.
My journey started with Java, evolved through competitive programming in C++, and now spans AI workflows, full-stack products, and data-driven systems. I've solved 500+ DSA problems across platforms and achieved CodeChef 5-star rating.
Across projects, I enjoy the blend of reasoning and craft: shaping the right user flow, choosing practical architecture, and iterating until the experience feels clear and reliable.
Associate Application Engineer (AI/ML)
Impresa.ai Consulting
- Builds data pipelines in PySpark and Python, feature engineering, and ML/DL models on client data, alongside GenAI prompt and metadata workflows.
- Turns that work into rapid prototypes with the product team for client pitches and internal demos.
- Currently working on an agentic AI project.
AI/ML Intern
Impresa.ai Consulting
- Built GenAI proofs of concept: prompt and metadata pipelines for a GenAI platform, plus Python and SQL automation for data processing, validation, and reporting.
- Scoped POCs and KPIs with PMs and stakeholders, from problem definition to demo delivery, and supported ML preprocessing for model experiments.
- Converted to a full-time role in July 2026.
AI/ML Intern (Remote)
WebMobi360 B2B AI/ML Solutions
- Integrated Generative AI and LLMs into product workflows.
- Built prototypes to demonstrate agentic AI features and evaluate their feasibility.
- Worked on ML and recommendation-system projects.
Mobile App Development Intern (Remote)
MitJayn Corporation
- Managed the alpha phase of a healthcare management app.
- Built the Flutter app from scratch and worked on its low-level design.
- Designed the app UI in Figma.
Started with Java, fell into competitive programming — solved 500+ DSA problems and earned CodeChef 5-star & Codeforces ratings.
Joined Pandit Deendayal Energy University. Dove deep into algorithms, data structures, and foundational CS.
Joined ACM PDEU Student Chapter (Core Committee), CSI PDEU (Technical Sub-Committee), GeeksForGeeks PDEU, Encode PDEU, and Symmetry PDEU simultaneously.
"Advanced Water Quality Assessment through Integrated Machine Learning Models" published at IEEE ICCUBEA 2024. First step into academic research.
Android App Developer Intern at Prodigy InfoTech (Jun–Jul). Followed by Mobile App Dev Intern at WebMobi360, exploring Flutter and app architecture.
Mobile App Developer — managed the alpha phase of a healthcare management app, built from scratch in Flutter, and designed the UI in Figma.
Elected Application Development Head at ACM PDEU and Technical Head at CSI PDEU simultaneously — led technical events, workshops, and app initiatives.
"Analysing API Access Behaviour for Enhanced Security: A Machine Learning Approach" published at AIMV 2025 (2nd International Conference on AI and Machine Vision).
Integrated Generative AI, Agentic AI, and LLM-based solutions into product workflows. Built prototypes and evaluated agentic AI feature feasibility.
Shaped client proposals with PMs, designed GenAI prompt workflows, built Python automation scripts, and delivered POC demos for enterprise clients.
Completed B.Tech in Computer Engineering with a 9.4 CGPA. Ready for full-time roles in AI engineering, agentic systems, and product management.
Converted to full-time at Impresa.ai Consulting after the internship — data pipelines, ML models, and GenAI prototypes for client work, and currently an agentic AI project.