Hey there! I’m Saurabh Kumar Singh 😊.

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

  • Experienced AIML Application Developer with around 4 years of expertise in cutting-edge AI technologies, skilled in end-to-end development and deployment with good hands-on experience.
  • Specialized in developing end-to-end GenAI RAG engines for enterprise search applications, incorporating Knowledge Graphs and Vector Databases for enhanced performance with OpenAI/Gemini APIs and open-source LLMs, employing Prompt Engineering best practices to deliver context-aware responses.
  • Proficient in customizing open source frameworks like llama-index and langchain to meet requirements and utilizing techniques like PEFT, qLORA finetuning open-source LLMs.
  • Hands-on experience in developing Intelligent Video Analytics applications, solving complex computer vision and machine learning problems.

Research Interests

  • Generative AI application developement
  • Intelligent Video Analytics
  • Deep Learning and Computer Vision

Work Experience

  • JKTech (AI/ML Engineer), Bangalore
    • JIVA-EKE: Developing End-to-End GenAI RAG engines for enterprise search applications on structured and unstructured data, utilizing llama-index agents, tools, and retrievers, integrated with KnowledgeGraphs 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 (MTS-I R&D), Bangalore
    • IVA Platform : Played a pivotal role in developing the AI-backend for an IVA Platform built on NVIDIA’s technology stack, writing DeepStream Python applications to address object detection challenges and enhance video analytics.
    • Conducted model training with custom data using Transfer Learning (TAO) for various architectures like DetectNetV2, YoloV4, SSD, and Darknet, achieving improved object detection capabilities.
  • Euclid Innovations (AI Software Developer), Bangalore
    • CAML : Worked with AI backend team to build this Customizable, plug and play, Computer Vision platform that can integrate with any cameras to provide real-time spatial, behavior, and cognitive analytics with actionable insights.
    • Worked on end to end Dockerization of the project, researching cutting edge technology by NVIDIA and Facebook, building POCs and working with Deepstream on high end dGPU systems
    • Achieved latency reduction by implementing H.264 encoding of inference frames from JPEG frames and optimizing the existing pipeline.
  • SmartCow.ai (IVA Engineer), Hyderabad
    • Explored and tested NVIDIA Deepstream plugins.
    • Managed Edge device to AWS Cloud services.
    • Written few technical blogs Link
    • Worked as an Intelligent Video Analytics Intern (AI at the Edge)
    • Learned and worked on various technoligies like AWS, CUDA, GStreamer, NVIDIA Jetson Platform, Deepstream etc.
    • written a thesis on “Affordaable AI at the Edge on NVIDIA’s Jetson Ecosystem”
  • CodeVector Labs LLP (AI Research Intern), Raipur
    • Worked as an Intern (AI in Sports)
    • Worked on Object Detection(YOLO) , Object Segmentation(R-CNN, Mask R-CNN) and other computer vision techniques for our custom dataset (Annotated own dataset to train YOLO object detection model) in Sports.
    • Developed various POCs.
    • Achieved Star of the Month Award - October 2019 for excellent work delivery.
  • Image Processing Lab (Computer Vision Research Intern), MNNIT Allahabad
    • Implemented various traditional computer vision algorithms and gone through various research papers on object detection.
    • Implemented Object Detection
  • National Health Mission Chhattisgarh (Android Developement Intern), Naya Raipur
    • With the help of team developed a health awareness hindi android app Hamar Swasthya which serves information related to recent prevalent disease, healthcare suggestion etc using Google’s Firebase as the database.
    • It was a government project for the scheme called Sanchar Kranti Yojana.

Skills

  • Programming Language: Python, C++, C, Shell
  • Tools: Docker, Git, Kubernetes, GraphDatabses(Neo4j, Nebula etc.), VectorDatabases(ChromaDB, Pinecone, SingleStore, Postgres etc.)
  • Frameworks: Langchain, Llama-index, PEFT, Deepstream SDK, TAO/TLT, TensorRT, CUDA, FastAPI,
  • Libraries: OpenCV, Keras, PyTorch, Tensorflow, Transformers, TRL, AutoTrain
  • Cloud Platforms: GCP, AWS
  • MLOPS: VertexAI, ClearML

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 habbit of writing the blogs.