B

BAHADUR SINGH THAKUR

AI Researcher

Hyderabad, Telangana, India7 yrs 9 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Expert in developing AI solutions for edge devices.
  • Proficient in real-time video analytics and streaming.
  • Strong foundation in computer vision and object detection.
Stackforce AI infers this person is a specialist in AI and Machine Learning for edge computing applications.

Contact

Skills

Core Skills

Ai Solutions ArchitectureMachine Learning

Other Skills

AI Model DevelopmentAJAXAggregator ServersAndroid StudioBack-End Web DevelopmentC (Programming Language)Cascading Style Sheets (CSS)Customer Requirement AnalysisCustomer ServiceData AnalysisData ScienceDatabase DesignDeep LearningDesign PatternsDjango

About

I am a Computer Science Post Graduate Student from National Institute of Technology email: bahadur.th7@gmail.com Skills: Computer Vision: LLaMA,Multimodel ,Clip,Idefics2: A Powerful 8B Vision-Language Model ,Object Detection, Classification, Segmentation, Recognition Frameworks: Yolo, YoloFastestV2, SSD, TLT, TAO, Retinaface, Mobilenet, Arcface Optimization: Float32 to Int8 conversion on TensorRT and OpenVino Inference Pipelines: Deepstream, OpenVino, OpenCV Object Tracker: Developed Custom Plugin using JNI Operating Systems: Linux, Raspbian, Banana Pi OS, Jetson Nano, NX, IMX8 Series OS, Intel NUC, Coral, Tinker Board OS Software: TensorRT, PyTorch, OpenCV, NCNN, TensorFlow, Arcface, Retinaface, TAO C++: Developed optimized shared library for inference kernel Networking: 4G Aggregation, IpSec, WAN Bonding (Network channel Aggregation) Projects: Custom Object Detection Models (100+ Models) Developed and trained custom object detection models from scratch using Yolo, YoloFastestV2, SSD, TLT, TAO, Retinaface, and Mobilenet. Implemented JNI native libraries for seamless integration with edge devices. Optimization and Inference Optimized models for edge devices, converting from float32 to int8 on TensorRT and OpenVino, achieving improved performance and reduced resource usage. Created efficient inference pipelines on Deepstream, OpenVino, and OpenCV for real-time processing. Object Tracking Custom Plugin Developed a custom object tracking plugin using JNI for improved accuracy and efficiency in object tracking tasks. Pose Estimation with Open-Pose Developed a pose estimation model capable of detecting five classes: Hands-up, Kneeling, Sitting, Sleeping, and Standing. Suspicious Anomalies Detection (ATM) Implemented a system for detecting suspicious anomalies in ATM transactions, enhancing security and fraud prevention. Installation and Deployment: Proficient in setting up and configuring various operating systems like Linux, Raspbian, Banana Pi OS, Jetson Nano, NX, IMX8 Series OS, Intel NUC, Coral, Tinker Board OS. Expertise in installing and integrating software packages such as TensorRT, PyTorch, OpenCV, NCNN, TensorFlow, Arcface, Retinaface, TAO, Vtrunkd, Wvdial, and Docker. please look it if it matching in your job profile I have a strong hand on my all skills

Experience

7 yrs 9 mos
Total Experience
6 yrs 3 mos
Average Tenure
1 yr 8 mos
Current Experience

Magellanic-cloud

AI Solutions Architect | GEN AI | NLP | ML | Edge Computing Specialist

Oct 2024Present · 1 yr 8 mos · Hyderabad, Telangana, India · On-site

  • I am an experienced AI Solutions Architect with a strong foundation in developing and deploying cutting-edge AI and ML solutions. My expertise spans model training from scratch, designing and implementing complete AI inference pipelines, and integrating solutions across C++, Java, and Python.
  • I have hands-on experience with GEN AI, Natural Language Processing (NLP), and Machine Learning (ML), specializing in building scalable and efficient systems for edge devices and server environments. My key skills include:
  • AI Model Development: Training models for face recognition, object detection, classification, and segmentation.
  • RTSP Streaming Expertise: Proficient in real-time streaming for video analytics applications.
  • Edge Computing: Optimizing AI systems for deployment on edge devices for low-latency processing.
  • Aggregator Servers: Skilled in designing and managing aggregator servers, including experience with vtrunkd for optimized data transport.
  • I thrive in creating innovative solutions that bridge the gap between advanced AI research and practical deployment. My passion lies in developing robust AI systems that enhance performance and drive impactful results.
  • Feel free to connect to discuss GEN AI, edge computing, or collaborative AI projects!
AI Model DevelopmentRTSP Streaming ExpertiseEdge ComputingAggregator ServersAI Solutions ArchitectureMachine Learning

Ivis

2 roles

AI and ML Software Development Engineer

Sep 2018Dec 2024 · 6 yrs 3 mos · Hyderabad Area, India

Software Developer

Sep 2018Dec 2024 · 6 yrs 3 mos · Hyderabad Area, India

Education

National Institute of Technology Warangal

Master's degree — Computer Software Engineering

Jan 2015Jan 2018

Extol Inst. of Management, Near Lily Talkies Jehangirabad, Bhopal

Bachelor's degree — Computer Science

Jan 2010Jan 2013

Stackforce found 100+ more professionals with Ai Solutions Architecture & Machine Learning

Explore similar profiles based on matching skills and experience