Rachakonda Hrithik Sagar · CVIT, IIIT Hyderabad · BharatGen

I build vision–language models that ground their answerspixel by pixel — in the documents they read.

MS by Research student at CVIT Lab, IIIT Hyderabad and AI Research Engineer at BharatGen. My work spans grounded chain-of-thought reasoning, mask-based document grounding, and large-scale multilingual VLM training — including DoCoG (ECCV 2026), M3Grounder (CVPR 2026), and Patram-7B, India's first foundational document VLM.

News

2026

DoCoG accepted to ECCV 2026 (Malmö, Sweden) — equal-contribution first author.

2026

M3Grounder accepted to CVPR 2026 main conference — equal-contribution second author.

2025

Merged pull requests in openai/gpt-oss and QwenLM/Qwen3-VL.

2025

Patram-7B released on HuggingFace and IndiaAI AIKosh — India's first foundational document VLM, supporting 22 Indian languages.

Selected Research

ECCV 2026

DoCoG: Mask-based Multi-Type Grounded Chain-of-Thought for Document QA

Sai Madhusudan*, Jyothi Swaroopa*, Hrithik Sagar*, et al. (*equal contribution)

Extends grounding beyond answers to the reasoning itself: every step of the chain-of-thought is grounded in textual and graphical document elements through a Grounding Interaction Module with dedicated grounding tokens — so you can see exactly where each reasoning step looks.

CVPR 2026

M3Grounder: Mask-Based Multi-Span and Multi-Granular Grounding for Document QA

…, Jyothi Swaroopa†, Hrithik Sagar†, et al. (†equal contribution)

Mask-based grounding that handles answers scattered across multiple spans and granularities — words, lines, blocks, figures. Introduces GroundingDocQA: 200K documents, 2M QA pairs. State-of-the-art on DOGR-Bench, BoundingDocs, and MMDocBench.

Open Model · HuggingFace + IndiaAI AIKosh

Patram-7B: India's First Foundational Document VLM

BharatGen · Hrithik Sagar — synthetic data engine, multi-node training, benchmarking lead

Supports 22 Indian languages. Built the synthetic data engine that generated 10M QA pairs across 400K documents, ran multi-node training on 64 H100 GPUs, and led all benchmarking for the release.

full publication list →

Experience

Jan 2025 — present

AI Research Engineer

BharatGen · IndiaAI — Hyderabad

Core contributor to Patram-7B: synthetic data generation at 10M-QA-pair scale, multi-node H100 training, evaluation and benchmarking. vLLM inference optimization with significant latency reduction in production serving.

2024 — present

MS by Research · Research Assistant

CVIT Lab, IIIT Hyderabad

Research on mask-based document grounding and grounded multimodal reasoning — leading to M3Grounder (CVPR 2026) and DoCoG (ECCV 2026).

2022 — 2024

Machine Learning Engineer

Tech At Core · Hyderabad

Shipped NLP and computer-vision systems for client deployments; engineered a patent-pending drone-ML device combining onboard vision inference with autonomous navigation.

2019 — 2023

B.Tech CSE (AI & ML)

Sharda University — full tuition scholarship for academic excellence · GPA 8.40

Open Source & Systems

openai/gpt-ossMerged pull request — PR link
QwenLM/Qwen3-VLMerged pull request — PR link 1 PR link 2
vLLMProduction inference optimization: significant serving-latency reduction for document VLM workloads
240 × H100Multi-node (30 Nodes) distributed training for Patram-7B pre-training and instruction tuning