π Postgraduate Researcher @ IIIT Hyderabad
π§ LLMs Β· VLMs Β· Multimodal AI Β· Indic NLP
π Building Scalable AI Systems for Synthetic QA, Visual Reasoning, and Document Understanding
π» Contributor to
OpenAI GPT-OSS β’
Qwen 3 VL 235B β’
Hugging Face Datasets
β¨ I began my open-source journey with a merged PR to OpenAIβs GPT-OSS in May 2025, enabling vLLM Online Serve for OpenAI models.
Since then, Iβve been actively contributing to top-tier AI repositories under @hrithiksagar-tih, focusing on LLM/VLM Infrastructure, Multimodal AI, and Synthetic QA Generation.
Researcher Β· Engineer Β· Builder of Scalable AI Systems
π MS by Research β Computer Science & Engineering
- ποΈ IIIT Hyderabad
- π 2025 β Present
- π§ Hrithik.Rachakonda@research.iiit.ac.in
- π¨βπ« Advisor: Prof. Ravi Kiran (@ravika)
π¬ Research Associate β BharatGen
- π Dec 2024 β Present
- π§ Hrithik.Sagar@tihiitb.org
- π§ Focus: Synthetic QA Generation, Indic Multilingual AI, Model Routing, Visual QA
- βοΈ Building LLM/VLM Research Infrastructure
- π May 2024 β Dec 2024
- π§ Bhashini Project (bhashini.gov.in)
- π Work: Indic NLP, Responsible AI, Cross-lingual QA
Spring 2024
- π€ Robotics: Planning and Navigation
- βοΈ Responsible and Safe AI Systems
Fall 2023
- π§ Deep Learning: Theory and Practice
- πΌοΈ Digital Image Processing
πΌ Machine Learning Engineer (R&D) β March 2022 β Present
Research and development in LLM, VLM, vLLM, and AI Infrastructure
Specializing in Multi-GPU, Distributed Systems, and Data Pipelines
| Category | Tools |
|---|---|
| π‘ AI/ML | LLMs, VLMs, NLP, Deep Learning, Fuzzy Logic |
| βοΈ Frameworks | PyTorch, TensorFlow, HuggingFace, vLLM, Ray |
| π§ Ops & Infra | Multi-Node GPU, Slurm, Ray, DuckDB, SQL |
| π§© Development | Python, VSCode, Git, Streamlit, Gradio, React |
| π¨ Creative | Procreate (Digital Art), Shapr3D (3D Design) |
π‘ Total: 4+ Merged PRs across top-tier AI repositories (OpenAI, Qwen, Hugging Face)
π§ OpenAI GPT-OSS
Contributed to the Offline Serve for vLLM feature
π Merged PR #150
𧬠Qwen 3 VL 235B
Improved Online & Offline Inference with vLLM
Enhanced dataset structure for Document Object Grounding & Reasoning (DOGR)
π Merged PR / Discussion
| Repository | β Stars | π¦ Downloads | β PRs Merged | π Contribution |
|---|---|---|---|---|
| OpenAI GPT-OSS | 18.3k | 8.9M/mo | 1 | Offline Serve for vLLM |
| Qwen 3 VL 235B | 13.2k | β | 2 | Online/Offline Inference |
| DOGR Dataset | β | β | 1 | Dataset Fixes |


