Tanish Chudiwal

Co-Founder

Pune, Maharashtra, India1 yr 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Aspiring Quant Researcher with strong analytical skills.
Led AI projects with significant impact in healthcare.
Developed innovative solutions in computer vision.

Stackforce AI infers this person is a Quantitative Finance and AI specialist with a focus on healthcare applications.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Amazon Web Services (aws)Academic WritingCommunicationResearch And Development (r&d)

Other Skills

Creative PitchingData AnalysisEvent PlanningFinancial ModelingMachine LearningMarket ResearchProject ManagementPython (Programming Language)Quantitative Analysis (Finance)R (Programming Language)Research SkillsStatistics

About

Aspiring Quant Researcher driven by the intersection of mathematics, machine learning, and financial markets. I develop statistical models and algorithmic solutions using Python, R, and advanced analytics to uncover market patterns and generate trading insights.With a background in electrical engineering and hands-on experience in AI development, I bring a strong foundation in signal processing, optimization, and data analysis to quantitative finance. I'm particularly interested in applying machine learning to financial markets, risk modeling, and algorithmic strategy development. My background in computer vision and model validation translates directly to developing robust quantitative systems.Always eager to collaborate on projects involving financial modeling, backtesting, or quantitative analysis.

Experience

Millennium campus network (mcn)

United Nations Millennium Fellow | Class of 2025

Aug 2025 – Present · 7 mos · Remote · Remote

Selected among 4,000+ applicants globally for demonstrated leadership and impact focus.
Using AI tools for promoting the importance and impact of STEM education and related opportunities in underprivileged schools in and around Chennai.

Taiuo technology

AI development intern

Dec 2024 – Present · 1 yr 3 mos · Remote

Spearheaded the collection and preprocessing of a dataset with 50,000+ medical images, identifying visual biomarkers for skin diseases.
Deployed the solution in a production-ready AWS environment using SageMaker, S3, and EC2 to enable scalable model inference.
Led a team of 5 engineering interns, driving end-to-end base MVP development in under 4 months and presenting to key stakeholders, including industry professionals and Dr. Vivek Oberoi.

Project ManagementArtificial Intelligence (AI)Amazon Web Services (AWS)Creative PitchingResearch and Development (R&D)

E-cell iit madras

2 roles

Manager

Jun 2024 – Apr 2025 · 10 mos · On-site

Led two successful events in E-summit 2025 with over 9k+ footfall and 50+ events.

Associate Manager

Nov 2023 – May 2024 · 6 mos · On-site

Led two successful events in E-summit 2024 with over 8k+ footfall and 45+ events.

Communication

Placement & internship cell, iit madras

Coordinator | University and International Relations Cell

Jun 2024 – May 2025 · 11 mos · Chennai, Tamil Nadu, India · On-site

Facilitated workshops to promote research culture among undergraduates, mentoring 30+ students on improving their CVs and academic profiles.
Compiled and published a Research Internship Bluebook featuring 45+ curated opportunities to guide IITM students in securing internships.
Organized two high-impact MBA guidance sessions in partnership with Tilden Global, each attended by 100+ participants.

Academic WritingEvent Planning

Xrig - iitm

Coordinator

May 2024 – Sep 2024 · 4 mos · Chennai, Tamil Nadu, India · Hybrid

Research and Development vertical

Research SkillsMarket ResearchResearch and Development (R&D)

Sahaay, social innovation club, iit madras

Deputy Coordinator

Nov 2023 – Apr 2024 · 5 mos · IIT Madras, Chennai · Hybrid

Designed and deployed an Automatic Waste Segregation System leveraging computer vision and hardware integration, achieving 92.77% validation accuracy.
Enhanced model performance by 14% through integration of MobileNetV2 pre-trained weights, advanced data augmentation, and robustness to salt-and-pepper noise.
Collaborated across software and hardware teams to ensure seamless end-to-end system functionality and deployment-ready implementation.
Conducted iterative testing and optimization cycles, refining both vision model and physical sorter for reliable real-world operation.

Python (Programming Language)CommunicationArtificial Intelligence (AI)Machine Learning