Diksha Bagade

AI Researcher

Brooklyn, New York, United States2 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Machine Learning and Computer Vision.
Developed innovative solutions for real-time video analytics.
Published research on multimodal conversational models.

Stackforce AI infers this person is a Machine Learning and Computer Vision specialist with a focus on innovative AI solutions.

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Skills

Core Skills

Machine LearningComputer VisionNatural Language Processing (nlp)

Other Skills

Object DetectionData ClassificationDomain AdaptationConversational modelcontinutal learningMSCOCOPython (Programming Language)Language ModelingVideo ProcessingImage ProcessingDigital Image ProcessingImage AnalysisDeep LearningResearchWeb Content Writing

About

A current student at the New York University, pursuing a Masters in Computer Science. REALLY into Machine Learning and AI, with projects, publications, and work experience spanning from Natural Language Processing (NLP) to Computer Vision (CV) and the Multi-Modal space. Was passionately into the ML/AI domain since way before it became a buzzword. But always up for a chat to brainstorm ideas on how ML can solve real world problems. Kudos to u if u read the whole thing

Experience

2 yrs 11 mos

Total Experience

11 mos

Average Tenure

Current Experience

Ruffalo noel levitz

Student Engagement Ambassador

Oct 2025 – Nov 2025 · 1 mo · New York, New York, United States · On-site

Fostered meaningful connections with alumni, ensuring positive and engaging interactions that reflect the values of the university.
Supported team initiatives by collaborating with peers to optimize outreach efforts and enhance overall engagement strategies.

New york university

Graduate Teaching Assistant

Sep 2025 – Present · 8 mos · New York, New York, United States · On-site

for CS-GY ECE-GY 6953 7123 Deep Learning under Prof. Gustavo Sandoval
Graded assignments, designed coursework, hosted office hours, and resolved student questions to support learning outcomes
Collaborated with fellow TAs and instructors to coordinate grading, assignments, and course operations

Awiros

Machine Learning Engineer

Jul 2023 – Apr 2024 · 9 mos · Gurugram, Haryana, India · On-site

Awiros is a startup that deliveres Computer Vision solutions and my role focused on developing and optimizing computer vision models for real-time video analytics on their platform. Majorly focused on object detection, classification, and security applications, enhancing model accuracy, efficiency, and deployment for large-scale CCTV data processing.
Built a novel Woman Hailing Detection pipeline integrating YOLOv8-Pose and gender classifier, achieving 160% hardware efficiency gain.
Fine-tuned Video Transformers for Violence Detection using real-world CCTV footage, decreasing false positives by 15%
and increasing precision by 8% within a high-traffic urban environment.
Trained and evaluated ResNet50-based Gender Classifier with orientation cues, improving accuracy by 20%.
Customized Tiny-YOLOv3 for live feed Person Detection, increasing the frames processed per second to 24 FPS.

Object DetectionMachine LearningComputer VisionData Classification

Cimec unitrento

Research Internship

May 2022 – Jul 2022 · 2 mos · Italy · Remote

Worked under the guidance of,
Raffaella Bernardi: Associate Professor Representative of ’CIMeC - Center for Mind/Brain Sciences’
Dieu Thu Le: Senior Applied Scientist at Amazon Alexa Research
Claudio Greco: PhD under Raffaella Bernardi.
on a multimodal conversational model.
Worked on Continual Learning and Domain Adaptation to understand ideate over the research and built multiple
controlled datasets, leveraging the MSCOCO API for evaluations.
The full paper was accepted at the Frontiers AI Journal.

Domain AdaptationConversational modelcontinutal learningMSCOCONatural Language Processing (NLP)

Visvesvaraya national institute of technology

2 roles

Literary Secretary

Jul 2021 – May 2022 · 10 mos

Cultural Secretary

Jul 2020 – May 2021 · 10 mos

Was responsible for planning and organizing department events along with other council activities during Sophomore year

Ivlabs, vnit

3 roles

Head of Media

Jul 2020 – Jul 2022 · 2 yrs

Managed their public visibility for a wider reach in Junior Year and Senior Year.

Student Mentor

Jul 2020 – May 2021 · 10 mos

Mentored the newly admitted batch in their projects. Guided them in both technical and non-technical tasks essential to handle the community.

Summer Intern

May 2020 – Aug 2020 · 3 mos

I had the opportunity to dive into the fundamentals of Computer Vision, gaining hands-on experience with image processing and object detection techniques. I worked on a range of projects:
Indian Sign Language Detection: Built a real-time system to recognize a limited set of Indian Sign Language gestures using classical image processing techniques.
Virtual Drawing Pad: An interactive tool that allows users to draw using colored object tracking via webcam.
Hough Line Transform and Connected Component Analysis: Studied these underlying algorithms to implement them from scratch.

Computer VisionPython (Programming Language)