Hey there! I’m Saurabh Kumar Singh 😊.

I am working as a Senior Data Scientist @ Deloitte, Bangalore. I have completed B.Tech in the dept. of Computer Science And Engineering @ IIIT Naya Raipur 🎓👨‍🎓.

• AI/ML Engineer with 6+ years of experience building end-to-end machine learning and Generative AI solutions for enterprise applications.
• Specialized in developing GenAI RAG engines for enterprise search, incorporating Knowledge Graphs and Vector Databases for enhanced performance with OpenAI/Gemini APIs and open-source LLMs, employing Prompt Engineering best practices.
• Proficient in customizing frameworks like llama-index and langchain, and utilizing techniques like PEFT, qLORA for finetuning open-source LLMs.
• Hands-on experience in MLOps, building scalable ML platforms, and developing Intelligent Video Analytics applications on NVIDIA’s technology stack.
• Strong background in Deep Learning, Computer Vision, and deploying AI solutions on cloud (GCP, AWS) and edge devices.

Research Interests

• Generative AI & LLM Application Development
• Machine Learning & MLOps
• Intelligent Video Analytics
• Deep Learning and Computer Vision

Work Experience

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• Deloitte (Senior Data Scientist), Bangalore (Present)
  • Working on cutting-edge AI/ML and GenAI solutions for enterprise clients.
  • Developing and deploying large-scale machine learning models and Generative AI applications.
• JKTech (AI/ML Engineer - Senior Consultant), Bangalore (Jan 2023 - 2024)
  • JIVA-EKE: Developed End-to-End GenAI RAG engines for enterprise search applications on structured and unstructured data, utilizing llama-index agents, tools, and retrievers, integrated with Knowledge Graphs and VectorDBs.
  • JEKA: Developed a Persona-based RAG platform leveraging Prompt engineering techniques along with OpenAI APIs and Open Source LLMs for context-aware responses.
  • JARVIS: An accelerated ML development platform based on ClearML, ensuring faster ROI for AIML projects.
• Mavenir (Member of Technical Staff I - R&D), Bangalore (Apr 2021 - Jan 2023)
  • IVA Platform: Played a pivotal role in developing the AI-backend for an End-to-End IVA Platform built on NVIDIA’s technology stack, writing DeepStream Python applications to address object detection challenges.
  • Conducted model training with custom data using Transfer Learning (TAO) for DetectNetV2, YoloV4, SSD, and Darknet architectures.
• Euclid Innovations (Software Developer - AI), Hyderabad (Jan 2021 - Apr 2021)
  • CAML: Worked with AI backend team to build a Customizable, plug-and-play Computer Vision platform providing real-time spatial, behavior, and cognitive analytics.
  • End-to-end Dockerization of the project, working with Deepstream on high-end dGPU systems.
  • Achieved latency reduction by implementing H.264 encoding and optimizing inference pipelines.
• SmartCow.ai (IVA Engineer), Hyderabad (Jan 2020 - Oct 2020)
  • Developed IVA Applications on a large scale integrated with AWS cloud services.
  • Worked with CUDA, GStreamer, OpenCV, TensorRT, NVIDIA Jetson Platform, and Deepstream.
  • Written technical blogs on Medium.
  • Thesis: “Affordable AI at the Edge on NVIDIA’s Jetson Ecosystem”
• CodeVector Labs LLP (AI Research Intern), Raipur (2019)
  • Worked on Object Detection (YOLO), Segmentation (R-CNN, Mask R-CNN) for AI in Sports applications.
  • Achieved Star of the Month Award - October 2019 for excellent work delivery.
• Image Processing Lab (CV Research Intern), MNNIT Allahabad
  • Implemented traditional computer vision algorithms and object detection research.
• National Health Mission Chhattisgarh (Android Development Intern), Naya Raipur
  • Developed a health awareness Android app Hamar Swasthya for the Sanchar Kranti Yojana government scheme.

Publication

• Automatic Generation of Chest X-Ray Medical Imaging Reports using LSTM-CNN — International Conference on DSMLAI, Windhoek, Namibia (Aug 2021)

Skills

• Programming Languages: Python, C/C++, Shell, CUDA
• GenAI / LLM: Langchain, Llama-index, RAG, Prompt Engineering, PEFT, qLORA, OpenAI APIs, Gemini APIs, Transformers, TRL, AutoTrain
• ML / DL Frameworks: PyTorch, TensorFlow, Keras, scikit-learn, XGBoost
• Computer Vision: OpenCV, NVIDIA Deepstream SDK, TAO/TLT, TensorRT, GStreamer
• Databases: Neo4j, Nebula (Graph), ChromaDB, Pinecone, SingleStore, Postgres (Vector)
• Tools & DevOps: Docker, Kubernetes, Git, FastAPI, Streamlit
• Cloud Platforms: GCP (Vertex AI), AWS
• MLOps: Vertex AI, ClearML, MLflow

Scholastic Achievements

• 2019 Industry Academia Meet-2019, IIITNR (Secured Runner UP position)
• 2015 Medhavi Chhatra Samman (Secured 8th Rank in State in Intermediate)

In my spare time, I love to:

• Play online multiplayer mobile games 🎮 like Call Of Duty 💣 and Clash Of Clans 💎 etc.
• Travel to new places and connect with new people. 🧳
• Explore food and music and solo bike riding. 🎧 + 😋 + 🏍️
• I love to write what I learned, So I am making the habit of writing blogs.