Bhaskar Joshi — Software Engineer
I’m an AI-focused Software Engineer at Adobe, developing Generative AI and LLM-powered systems that scale to millions of users. My work bridges core AI research and real-world engineering, with experience spanning GenAI toolkits, multimodal models, deep reinforcement learning, and intelligent document systems. At Adobe, I’ve been part of the team behind the Acrobat AI Assistant, optimizing GenAI pipelines for document understanding and support automation. I also authored a US patent on a Context and Geo-Aware Diffusion Model—advancing creative content generation for Adobe Express. Previously, I’ve conducted AI research at Université Paris Dauphine (France) and York University (Canada), improving Vision Transformers for chess AI and ensemble learning for cyber attribution. During Google Summer of Code @ Internet Archive, I built a Knowledge Graph–based version tracker to enhance large-scale data retrieval efficiency. 🎯 Technical Focus Areas: Generative AI • LLMs • Multimodal Models • Deep Learning • Reinforcement Learning • Computer Vision • NLP • Model Optimization • Systems for AI 🧠 Core Stack: Python, C++, PyTorch, TensorFlow, Go, Docker, Azure, AWS, Linux, Flask 📚 Credentials & Recognition: B.Tech (Hons.) + MS by Research in AI, IIIT Hyderabad — GPA 9.27/10 (Top 2%) 1 US Patent (accepted), 2 under review 5 IEEE/ICGA papers in Deep RL, Vision Transformers, and Generative AI Research collaborations with York University, Université Paris Dauphine-PSL, and Internet Archive 🌍 I’m deeply passionate about building intelligent, interpretable, and scalable AI systems—from foundational model research to production-grade deployment. Open to collaborations or roles in AI research, applied ML, or GenAI engineering at frontier labs and global tech companies.
Stackforce AI infers this person is a Generative AI and Machine Learning specialist with a focus on scalable systems.
Location: Hyderabad, Telangana, India
Experience: 5 yrs 9 mos
Skills
- Deep Learning
- Monte Carlo Simulation
- Data Retrieval
- Knowledge Graphs
- Software Development
- Profiling Tools
- Research
- Machine Learning
- Natural Language Processing (nlp)
- Generative Ai
- Software Deployment
Career Highlights
- Developed AI systems for millions of users at Adobe.
- Authored a US patent on innovative AI models.
- Collaborated with top universities on cutting-edge AI research.
Work Experience
Adobe
Member of Technical Staff (2 yrs)
Université Paris Dauphine - PSL
Research Associate (4 mos)
Google Summer of Code
Project Intern (3 mos)
Intel Corporation
Software Engineer (3 mos)
University of Waterloo
Research Intern (2 mos)
York University
Visiting Researcher (3 mos)
Adobe
Software Engineer Internship (2 mos)
IIIT Hyderabad
Head Teaching Assistant - Reinforcement Learning (4 mos)
Head Teaching Assistant - Operating Systems and Networking (5 mos)
Amazon
Amazon ML Summer School (1 mo)
Airbus
Research Internship (5 mos)
IIIT Hyderabad
Teaching Assistant - Machine Data Learning (4 mos)
Undergraduate Research Assistant (2 yrs 10 mos)
Cossine Labs
Full Stack Developer (3 mos)
Chegg Inc.
Subject Matter Expert (11 mos)
Education
B.Tech Computer Science and MS by Research at International Institute of Information Technology Hyderabad (IIIT Hyderabad)
10th at Nirmala Convent School - India
12th at Nirmala Convent School - India
