computer vision intern@iris aerial | ex- AI-operations Engineer@anytechpros | Ex-Research Intern @ MANIT Bhopal & Samsung Prism
AI Research Engineer specializing in image processing, with a strong focus on developing advanced computer vision solutions. Exploring the future of agentic AI frameworks and their real-world applications. Solo developer of innovative AI tools, often built during high-impact hackathons. Passionate about transforming cutting-edge research into practical, scalable systems. Driven by curiosity, creativity, and the challenge of solving complex AI problems.
Iris Aerial Innovations Pvt. Ltd.
7 mos · Delhi, India
https://anytechpros.com/
5 mos
Maulana Azad National Institute of Technology (MANIT), Bhopal
1 mo · Bhopal, Madhya Pradesh, India
Bluestock™🔺
2 mos
Samsung Innovation Campus
4 mos · Kurnool, Andhra Pradesh, India
Iris Aerial Innovations
Nov 2025 – Present
Integrated heterogeneous RGB imagery, SAR data, and high-resolution drone imagery into a unified object detection pipeline; designed data segregation strategies, annotation format conversion pipelines, and augmentation workflows; addressed class imbalance and limited GPU availability through sampling and model optimization; implemented research papers to improve detection robustness across domains.
AnyTechPros
Jul 2025 – Nov 2025
Developed deep learning pipelines for multi-temporal satellite image segmentation and analysis; implemented preprocessing and segmentation models for time-series satellite imagery; gained experience in remote sensing, change detection, and large-scale deployment.
MANIT Bhopal
Jun 2025 – Jul 2025
Contributed to GlaucFusion, a glaucoma detection research project using fundus images; developed and evaluated Vision Transformer architectures for medical imaging; gained exposure to academic research workflows and medical AI evaluation standards.
Bluestock Fintech
May 2025 – Jun 2025
Developed backend systems for the Bluestock IPO web platform; designed and deployed REST APIs for real-time financial data ingestion and user management; worked on scalable backend systems in a production fintech environment.
IIITDM Kurnool
Dec 2024 – Mar 2025
Led a breast cancer segmentation project using terahertz imagery; designed a custom U-Net architecture for high-resolution terahertz image segmentation; applied machine learning fundamentals to domain-specific medical imaging challenges.
Bachelor of Technology - BTech, Mechanical Engineering
Aug 2023 - Aug 2027
Senior secondary education, Mathematics and Computer Science and Life sciences
2020 - 2022
B.Tech., Mechanical Engineering
2023 – 2027
Senior Secondary (CBSE)
2020 – 2022
Secondary (ICSE)
2020
Aerial Robotics based project dealing with complications of Multi UAV coordination for performing superficial tasks in indoor operations and also for extended range surveillance and action serving military operations.
Retrieval-Augmented Generation pipeline for clinical applications that transforms unstructured medical notes into structured summaries, differentials, and clarifying questions with evidence traceability.
Glaucoma diagnosis pipeline using Vision Transformers on ophthalmology datasets, including dataset ingestion, unified preprocessing, quality checks, and bidirectional inference with supervised and encoder-only vision transformers.
End-to-end breast cancer image segmentation pipeline using converted EMF/Terahertz images, data augmentation, a custom U-Net with dilated convolutions, and combined BCE, Dice, and IoU loss.
Statistics-based, secure, offline, and explainable risk scoring system for detecting anomalous banking transactions using transaction time gaps, IP address, device type, and transferred amount.
AI platform combining multiple models for automated satellite imagery analysis, including real-time object detection, temporal change analysis, and reporting for maritime, aviation, and ground-based intelligence operations.
NSS IIITDM KURNOOL
Sep 2023 - Present · 2 yrs 9 mos
National Service Scheme (NSS)
Social Impact Projects