Vishwajeet Shukla

Machine Learning Engineer

Bengaluru, Karnataka, India6 yrs 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Led AI tool development for 300 million users.
  • Implemented cutting-edge AI algorithms at Samsung.
  • Awarded 'Power Player' for exceptional team leadership.
Stackforce AI infers this person is a Machine Learning Engineer specializing in AI-driven solutions for consumer and social media applications.

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Skills

Core Skills

Machine LearningGenerative AiComputer Vision

Other Skills

AI AgentsAI AlgorithmsAudio DetectionAutomated Image Quality AssessmentC (Programming Language)Cisco Secure Malware AnalyticsCommunicationContextual Image UpsamplingData AnalysisDeep LearningFull Stack DevelopmentGenerative Adversarial NetworksHTMLImage EditingImage Enhancement

About

Experienced Software engineer with a demonstrated history of working in the Data Science field. Skilled in C, C++, Python (Programming Language), Statistical Data Analysis, Machine Learning, and Deep Learning. Strong engineering professional with a Bachelor of Technology - B.Tech focused in Computer Science and Engineering from Indian Institute of Technology, Kharagpur (IIT Kgp). Currently working on Improving multimodal and text based image generation for adobe. Led creation efforts on AI experience for close to 300 Million monthly active users of sharechat and Moj. Here's a glimpse into my professional journey: ✨ Adobe Systems : Agentic Architectures using Multimodal LLMs for Diffusion based image applications. Using Multimodals to improve the output of diffusion models for text to image , image inpainting , text to edit and video applicaitons. ✨ ShareChat: Built and optimized the AI library for creation experience on sharechat. ✨ Samsung (Software Engineer): Developed cutting-edge computer vision and NLP algorithms for On device AI applications. Research contributions : Patents: IN 201911050272, (WO2022055273A1, US20230214960A1) , (US20230005505A1, IN202141029538) Modeling Techniques: CNNs, RNNs, LSTMs, GBM, Attention/Transformer, Linear Regression, SVM, Ensembling, Python Packages: TensorFlow, PyTorch, scikit-learn, LightGBM/XGBoost, OpenCV, Keras, HyperOpt, NLTK Experience with: C/C++, Python, OS, Networks, Computer Vision, NLP, Image Processing, Audio Processing, Mediapipe, Opengl, ML on edge devices, FastAPI, Backend, Generative AI , LLMs, Diffusion models, Data structures and algorithms, Computer science, Knowledge distillation, Pruning, Quantization, LangChain

Experience

Adobe

2 roles

Machine Learning Engineer 4

Jun 2025Present · 10 mos · Noida, Uttar Pradesh, India · On-site

  • Implementing
  • 1) Agents
  • 2) Image Editing and Enhancement Applications.
  • 3) User Query Understanding and processing through LLMs and Multimodals
  • 4) Automated Image Quality Assessment for Generative Models.
Image EditingUser Query UnderstandingAutomated Image Quality AssessmentMachine LearningGenerative AI

Machine Learning Engineer

Feb 2024Present · 2 yrs 2 mos · Noida, Uttar Pradesh, India · On-site

  • Photoshop, Image processing, Generative AI, Image generation, LLMs , Multimodal llms , LLava, LLama, ChatGPT, Image Quality Assessment, Image Quality Enhancement, Text to image diffusion models
PhotoshopImage ProcessingGenerative AIMachine Learning

Sharechat

2 roles

Lead Data Scientist

Promoted

Oct 2022Mar 2024 · 1 yr 5 mos · Bangalore Urban, Karnataka, India

  • Leading Creation AI tool for Sharechat. Developing efficient AI based algorithms for image and video enhancement applications. Building scalable algorithm platform for 300 million Monthly Active Users.
  • Camera AI experience through Shutter library:
  • Architectured and developed AI library for cross platform deployment ( Mac , Android and IOS ).
  • Developed efficient algorithms (Face/Object Detection , Face Landmark prediction , FaceMesh, Background segmentation, Facial Expressions, Hand gestures , Style Transfer, Generative adversarial networks or GANs) capable of running Real-Time on resource constraint devices.
  • Close collaboration with Product, Graphics, Design and App teams.
  • Enabled 3D faceAR filters. Built a scalable pipeline where the designers can create numerous effects/filters and Android/iOS users can create content. Similar to Instagram/Snapchat's filters.
  • Added support for various types of effects/filters namely, Face3D overlay, Facemask, Image/Video Enhancement etc.
  • Solving critical problems of running realtime ML on Mobile edge devices. Balancing load in CPU's and GPU's based on device capability. Some of the techniques for optimisation include quantization, pruning, Knowledge distillation , hybrid delegate execution etc.
  • 📈 Impact:
  • AI library was deployed for 100% users in Sharechat App with close to 150M monthly active users.
  • New revenue streams opened up as brands use lenses for Marketing/Advertisements.
  • 🥇 Awarded 'Power Player' for leading the team and proactively improving the performance of filters.
AI AlgorithmsImage EnhancementReal-Time ProcessingMachine LearningComputer Vision

Senior Data Scientist

Jul 2021Sep 2022 · 1 yr 2 mos · Bangalore Urban, Karnataka, India

  • Working on Creation AI tool for Sharechat. Developing efficient AI based algorithms for image and video enhancement applications.
AI AlgorithmsImage EnhancementMachine LearningComputer Vision

Samsung electronics

2 roles

Software Engineer

Jun 2019Jul 2021 · 2 yrs 1 mo · Noida, India

  • Implementation of On-Device AI ideas into smartphones. Idea deployed in production. Samsung multiple smartphones.
  • Contextual Image Upsampling. ( GANs, CNN, Keras ) Patent Filed.
  • Privacy Mode. ( Tensorflow, face recognition, face detection, java deployment)
  • Explosive sound Detection. ( Dilated convolutions, Multi-Modal Networks, Relative and average spectral distribution, Audio Event Detection, Keras, TensorFlow )
  • Research paper published in IEEE SSPD 2020 UK.
  • Video Frame Interpolation. Developed a highly efficient CNN-based Architecture for optical flow-based video frame interpolation with context blending using pre-trained mobile net architecture.
  • Best Employee SPOT award.
On-Device AIContextual Image UpsamplingPrivacy ModeMachine LearningComputer Vision

Intern

May 2018Jul 2018 · 2 mos · Noida Area, India

  • Software Development, Deep learning For Acoustic activity detection
  • Asynchronous training of CNNs on Audioset to classify audio in 527 categories.
  • Proposed a method for signal disturbance-based data generation and single-shot detection for audio event detection.
Deep LearningAudio Detection

Positron internet

Intern

May 2016Jul 2016 · 2 mos · Kolkata Area, India

  • Full Stack development on chikoop.com
Full Stack Development

Education

Indian Institute of Technology, Kharagpur

Bachelor of Technology (B.Tech.) — Computer Science

Jan 2015Jan 2019

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