Dharmendra Thakur
@dharmendrathakur
Machine Learning Engineer with expertise in multimodal AI and GenAI systems.
What I'm looking for
Dear Hiring Manager,
I am writing to express my interest in opportunities in the fields of Artificial Intelligence, Machine Learning, Data Science, or Generative AI Engineering. With a Master’s degree in Computer Science from IIT Bombay and over two years of professional experience at Samsung Research, I have consistently delivered end-to-end AI solutions across multiple domains — from on-device inference to generative modeling and document intelligence.
At Samsung, I played a key role in building and deploying Screen AI, an on-device GenAI-based system for extracting structured data from screenshots. I led efforts in synthetic data generation using Gemini and Mistral, built a layout-agnostic preprocessor, and deployed models for real-time use cases — ultimately improving accuracy by 20%+.
Additionally, I developed a generalized Multimodal LLM pipeline using LoRA fine-tuning, data augmentation, and latency optimization techniques such as KV Caching, which led to a 50% reduction in inference time and a noticeable boost in task performance. I also built the Android interface for on-device demonstration and showcased the solution at the Techglanz event.
On the data side, I’ve developed and evaluated document QA systems using RAG pipelines (LangChain, FAISS), multimodal transformers (LayoutLMv3, Donut), and OCR modules. I also worked on research-oriented projects like summary evaluation metrics under high compression and natural answer generation using GPT-3, BERT, and transformer-based paraphrasing models.
Whether it’s designing intelligent systems, solving business problems using data, or building scalable GenAI pipelines, I’m excited to contribute my skills and learn alongside a forward-thinking team.
Please find my resume attached. I would be thrilled to explore how I can contribute to your team across AI/ML, Data Science, or GenAI-focused roles.
Sincerely,
Dharmendra Thakur
+91-8602173438
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer
Samsung Research Institute
Jul 2022 - Oct 2024 (2 years 3 months)
Developed an on-device Multimodal LLM based automated system for data capture from screenshots. Implemented synthetic data generation and improved accuracy by 20%. Collaborated across teams to deploy models and built an intelligent document VQA system using GenAI techniques.
M.Tech Project
Indian Institute of Technology, Bombay
Aug 2021 - Jun 2022 (10 months)
Conducted projects on text summary evaluation and natural answer generation, improving fluency and accuracy using fine-tuned models. Developed sentiment analysis and stock price prediction systems using various machine learning techniques.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology, Bombay
Master’s, Computer Science
2020 - 2022
Grade: 8.36/10.0
Completed a Master's in Computer Science with a CGPA of 8.36/10.0, focusing on advanced topics in machine learning and artificial intelligence.
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