Rishabh Dandriyal
Senior AI Engineer
New Delhi,DL
Summary
Senior AI Engineer with 5+ years of experience in data science and applied Generative AI, building production-grade RAG and agentic systems for regulated legal and financial workflows. Strong focus on scalable architectures, reliable LLM orchestration, and data-driven decision automation.
Overview
6
6
years of professional experience
2
2
Certifications
Work History
Senior Consultant - AI Engineer
Ernst & Young
07.2024 - Current
- Created a production-grade legal research assistant (B2B & B2C) using multi-layered Agentic RAG architecture.
- Owned Autonomous Data Indexing pipeline that ingests over ~5 million records in Milvus VectorDB using parent-child chunking, Azure OCR, and Llamaparse.
- Architected large-scale hybrid retrieval on Milvus (TF-IDF + BGE embeddings) with Reciprocal Rank Fusion, improving Top 3 precision from 65% to 92% over a ~5M-document corpus, while maintaining p95 latency of less than 800 ms under production load.
- Productionized a multi-agent LLM workflow using LangGraph to orchestrate planning, retrieval, reasoning, and validation, delivering auditable, citation-backed legal responses with 94% decision accuracy, compliant with Big Four regulatory and audit standards.
- Architected LLM inference and orchestration for production reliability, reducing per-query token usage from approximately 400K to approximately 100K tokens by implementing adaptive chunking, schema-validated outputs (Pydantic), exponential backoff for rate limits, and multi-model fallbacks, resulting in lower latency, stable responses, and predictable costs at scale.
Senior Data Scientist
Nagarro
09.2022 - 07.2024
- Designed and deployed computer vision pipelines for object detection, semantic segmentation, and facial landmark detection using YOLOv7, custom YOLO architectures, and DeepLabv3+ with a ResNet101 backbone, supporting downstream image analysis and automation workflows.
- Implemented OCR pipelines using Azure OCR, combined with regex- and rule-based post-processing, to extract structured text from scanned documents, and developed custom object detection utilities, including Non-Maximum Suppression (NMS) and IoU-based filtering, to improve detection accuracy.
- Improved model performance through data preprocessing (annotation, augmentation, and cleaning), metric-driven evaluation (accuracy, IoU, precision/recall), and hyperparameter tuning to enhance robustness and accuracy.
Data Scientist
Infogain
01.2020 - 09.2022
- Performed data preprocessing, EDA, and feature engineering on large, structured, and text-based datasets to support forecasting, classification, and recommendation systems.
- Built and evaluated machine learning and statistical models, including regression, Random Forest, clustering, and similarity-based NLP models, using TF-IDF and cosine similarity.
- Implemented time-series forecasting solutions and optimized model performance through feature selection, hyperparameter tuning, and metric-driven evaluation.
- Deployed ML models using Streamlit to enable interactive analysis and business-facing demonstrations.
Education
Bachelor of Technology - Computer Science & Engineering
Manav Rachna International Institute of Research And Studies
Faridabad, India 04.2001 -
12 Th - Science
CRPF Public School
New Delhi, India 04.2001 -
10 Th -
CRPF Public School
New Delhi, India 04.2001 -
Skills
Agentic RAG, LangChain, LangGraph, Prompt Engineering , LLM Finetuning,
OpenAI, Claude, Gemini, Mistral,
Machine Learning, Computer Vision, Deep Learning
Python, SQL, FastAPI, Flask, Apache Kafka
Azure OpenAI, AI Foundry, AWS S3, Databricks, Git, Milvus DB
Certification
Azure fundamentals (AZ- 900)
Timeline
Senior Consultant - AI Engineer
Ernst & Young
07.2024 - Current
Senior Data Scientist
Nagarro
09.2022 - 07.2024
Data Scientist
Infogain
01.2020 - 09.2022
Bachelor of Technology - Computer Science & Engineering
Manav Rachna International Institute of Research And Studies
04.2001 -
12 Th - Science
CRPF Public School
04.2001 -
10 Th -
CRPF Public School
04.2001 -