Ritwika Kancharla

Data Scientist

https://talent.gravityer.com/ritwika-kancharla

Applied Scientist

Member since June 24, 2026

Key Strengths

Demonstrated strong interest and foundational experience in neural combinatorial optimization and large-scale VRP through 'RoutingAGI' project.
Experience with multimodal vision-language models for product retrieval, indicating knowledge in modern AI/ML techniques.
Involvement in mathematical reasoning AI systems ('aimo-math-reasoner') suggests strong analytical and problem-solving capabilities relevant to data science.
Proficiency in Python and Jupyter Notebook, essential tools for a Data Scientist.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and research-oriented, focusing on advanced AI/ML topics. This indicates a strong drive for innovation and problem-solving, which can be a good cultural fit for a research-heavy or innovative data science team. However, the lack of team-based or industry-specific projects makes it difficult to assess collaboration and business acumen.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.

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Projects

gitlab-transcend

June 20, 2026 – Present

Hackathon project for gitlab-transcend

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band-of-agents

June 18, 2026 – Present

LaunchForge: Band-Native Product Engineering Team — Multi-agent system for the Band of Agents Hackathon

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mintlify-docs

June 14, 2026 – Present

mintlify-docs — repository

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docs

February 24, 2026 – Present

docs — repository

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peppercore

February 21, 2026 – Present

peppercore — repository

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ml-interview-prep

January 15, 2026 – Present

ml-interview-prep — repository

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aimo-math-reasoner

January 13, 2026 – Present

Open-source AI system for solving olympiad-level mathematics problems (AIMO Progress Prize 3). Focused on mathematical reasoning, verification, and reproducible evaluation.

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multimodal-product-retrieval

December 22, 2025 – December 24, 2025

Multimodal vision–language embedding and retrieval pipeline for product images and text using CLIP-style models.

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neural-milp-surrogate

November 29, 2025 – December 2, 2025

Neural Surrogate MILP Solver with Constraint Experts

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RoutingAGI

November 23, 2025 – November 23, 2025

RoutingAGI is a neural combinatorial optimization framework combining graph encoders, spatial sequence models, and Mixture-of-Experts to approximate and accelerate MILP-based routing for Middle Mile logistics and large-scale VRP.

View Project

Key Strengths

Demonstrated strong interest and foundational experience in neural combinatorial optimization and large-scale VRP through 'RoutingAGI' project.
Experience with multimodal vision-language models for product retrieval, indicating knowledge in modern AI/ML techniques.
Involvement in mathematical reasoning AI systems ('aimo-math-reasoner') suggests strong analytical and problem-solving capabilities relevant to data science.
Proficiency in Python and Jupyter Notebook, essential tools for a Data Scientist.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.

Ritwika Kancharla

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit