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For recruiters 🧑🏽‍💻

Data Science MS at Columbia, building LLM systems end to end: retrieval, agents, evaluation harnesses, and the guardrails around them. Research on clinical and human-rights LLM pipelines, and an early production LLM deployment in regulated pharma.

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read, then matched against her projects and skills, gaps and all ✦

hiring for:

From the résumé 📄

Education

Columbia University

New York, NY

M.S. Data Science, GPA: 3.9/4.0

Aug 2025 - Expected Dec 2026

Coursework: Deep Learning, Generative AI Systems, Agentic AI, High Performance Computing, Causal Inference, Statistical Inference
Teaching Assistant for Natural Language Processing and AI for Public Policy; Data Science Institute Student Council Member

Vellore Institute of Technology

Vellore, IN

B.Tech. Computer Science and Engineering (Data Science specialisation), GPA: 4.0/4.0

Jul 2019 - May 2023

Ranked 7th out of 200 (Top 4%); Merit Scholarship recipient (2019-2023); Program Representative (2019-2023)
Coursework: Machine Learning, Artificial Intelligence, Natural Language Processing, Image Processing, Social Information Networks

Skills

Programming & Frameworks: Python, SQL, R, C++, PyTorch, TensorFlow, scikit-learn, FastAPI, NumPy, Pandas

LLM & AI Systems: RAG, LangChain, Hugging Face, ChromaDB, FAISS, Multimodal AI, Prompt Engineering, Agent Workflows

Data Engineering & Infrastructure: Databricks, PySpark, MongoDB, MySQL, BigQuery, Redis, Docker, Git, REST APIs

Cloud & MLOps: AWS, Azure DevOps, Weights & Biases, CI/CD, Experiment Tracking, Feature Engineering, Model Monitoring

Work Experience

NYC Administration for Children's Services (ACS)

New York, NY

Predictive Analytics Intern

Jun 2026 - Aug 2026

Built an explainability framework for a child welfare risk model on 900K+ records, transforming black-box predictions into transparent, policy-driven decisions through configurable operating thresholds spanning 25-80% recall (0.799 ROC-AUC, 7.2× base-rate precision).
Designed a three-level reliability audit proving explanations reproducible across evaluation sets (ρ=0.991), then established via noise-control testing that only 15 of 149 features carried real signal, setting a defensible limit on what the agency can claim from any feature ranking.

Shell

Bengaluru, IN

Software Engineer

Aug 2023 - Jul 2025

Developed machine learning forecasting solutions in Databricks (PySpark, SQL) across 12 business units, reducing forecast error by 23% and enabling $100K+ annual cost optimization decisions.
Built production data pipelines, feature engineering workflows, and 5 Blue Prism RPA bots with logging and retry logic, cutting manual reporting effort by 85% (120+ hours/quarter) and improving SLA compliance from 92% to 99%.

Novartis

Hyderabad, IN

Technical Analyst Intern

Jan 2023 - Jul 2023

Engineered a NLP-driven clinical trial analysis workflow for drug-level sentiment mining, automated summarization, and outcome extraction from unstructured research documents, reducing manual literature review and evidence synthesis effort by 40% per quarter.
Built predictive and time-series forecasting pipelines on environmental operations data, integrating web-scraped external signals, feature engineering, and temporal trend analysis to support sustainability initiatives targeting a 19% annual reduction in carbon emissions.

Research Experience at Columbia University

Graduate School of Arts and Sciences

New York, NY

Machine Learning Engineer - Human Rights LLM Evaluation

Jan 2026 - Present

Developed a two-stage retrieval-augmented LLM framework with automated web search and chain-of-thought reasoning scoring 27 defense manufacturers across 9 human-rights dimensions, cutting analyst review effort by 80% with kappa and Krippendorff's alpha validation.

Lamont-Doherty Earth Observatory, McKinley Group

Palisades, NY

Data Scientist - Ocean Carbon Data Valuation

Sep 2026 - Present

Extending a Data Shapley framework valuing individual SOCAT surface ocean fCO_2 observations against a physical model prior rather than an empty baseline, using KNN-Shapley approximation and spatially blocked cross-validation to target where sparse, expensive measurements would most improve the ocean carbon sink reconstructions contributed annually to the Global Carbon Budget.

Irving Medical Center, AI4VS Lab

New York, NY

Computer Vision Engineer - Ophthalmic AI & Eye Tracking

Jul 2026 - Present

Developing gaze-augmented deep learning models for glaucoma diagnosis that fuse clinician eye-tracking with OCT report features, aligning model attention with expert reading behavior to make automated screening for irreversible vision loss auditable enough for clinical use.

Irving Medical Center

New York, NY

AI Engineer - Clinical LLM & Phenotyping

Jan 2026 - Present

Built an extraction system with hybrid de-identification, longitudinal EHR reconstruction, and hallucination-aware validation, converting unstructured notes into 56 cardiac sarcoidosis phenotype variables and replacing months of chart review with a manuscript-ready cohort.

Projects

Folio: Clinical Multimodal RAG

folio-health.vercel.app

Built a multimodal clinical platform unifying RAG, document understanding, speech transcription, and longitudinal record management across text, PDF, image, and audio, hitting 85.1% extraction micro-F1 and 100% RAG recall@1 at sub-2s latency.

Federal Eagle: AI Legal Assistant

github.com/rishika1099/Federal-Eagle-AI-Legal-Assistant | federal-eagle.streamlit.app

A multi-agent CrewAI system for U.S. federal legal analysis: semantic USC retrieval, precedent search, elements analysis, and draft generation.

Ruchi: Pantry-to-Plate Intelligence

github.com/rishika1099/Ruchi-Pantry-to-Plate-Intelligence-Platform | ruchi-app.netlify.app

AI food app for video-to-recipe extraction, pantry matching, and personalized health coaching.
React + Vite + Framer Motion on Netlify.

⬇ download the PDF or open it as a page

Selected projects 🌱

6 of 104, the ones that argue for this role ✦

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Federal Eagle: AI Legal Assistant

⚖️ Legal

🤖 Agentic AI✨ Generative AI

A multi-agent CrewAI system for U.S. federal legal analysis: semantic USC retrieval, precedent search, elements analysis, and draft generation.

⭑ Code ✿ Live demo

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Folio: Clinical Multimodal RAG

🩺 Healthcare

✨ Generative AI👁️ Computer Vision

A multimodal medical-record companion unifying RAG, document understanding, speech, and vision. Consensus extraction across LLMs hit 85.1% micro-F1 with sub-2s latency.

⭑ Code ✿ Live demo

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Ruchi: Pantry-to-Plate Intelligence

🍲 Food & Nutrition

✨ Generative AI

AI food app for video-to-recipe extraction, pantry matching, and personalized health coaching. React + Vite + Framer Motion on Netlify.

⭑ Code ✿ Live demo

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DSI Course Evaluation

🎓 Education

✨ Generative AI💬 NLP

Student-built dashboard for Columbia MSDS course reviews, live Google-Sheets data, AI-summarized reviews, rankings, and side-by-side comparisons.

⭑ Code ✿ Live demo

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Hey Swiftie: Emotion Verse

📱 Social Media

💬 NLP✨ Generative AI

AI diary turning journal entries into personalized verses + music recs. DistilRoBERTa emotion, K-Means over 867 songs, FAISS RAG, GPT-4o-mini.

⭑ Code ✿ Live demo

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Just Ask Coach: NL → SQL

🏅 Sports

✨ Generative AI💬 NLP

Full-stack RAG pipeline turning natural language into SQL and visualizations for sports performance analytics.

⭑ Code ✿ Live demo

all 104 projects →

Research 🔬

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Jan 2026 – Present

Clinical LLM & Phenotyping

Columbia University, Irving Medical Center

Built a clinical information extraction system converting unstructured EHR notes into structured phenotype variables, ensuring patient privacy and accuracy through a robust validation process.

HealthcareGenerative AINLP

⚖️

Jan 2026 – Present

Human Rights LLM Evaluation

Columbia University, Graduate School of Arts and Sciences

Developed a two-stage retrieval-augmented LLM framework scoring defense manufacturers on human-rights due diligence, quantifying LLM-human agreement to validate automated assessments.

Human RightsLegalGenerative AI

👁️

Jul 2026 – Present

Ophthalmic AI & Eye Tracking

Columbia AI4VS Lab, Irving Medical Center

Developing gaze-augmented deep learning models for glaucoma diagnosis, aligning model attention with clinician visual search behavior to enhance interpretability in automated screening.

HealthcareComputer VisionDeep Learning

🌊

Sep 2026 – Present

Ocean Carbon Data Valuation

Columbia Lamont-Doherty Earth Observatory (McKinley Group)

Extending a Data Shapley framework to score ocean measurements based on their contribution to reconstruction accuracy, applying scalable approximations for tractable observation-level valuation.

Machine LearningStatistical Modeling

Experience 💼

Jun – Aug 2026

Predictive Analytics Intern

NYC Administration for Children's Services

Built a full explainability framework for a child welfare risk model, turning black-box predictions into transparent decisions through configurable operating thresholds and implementing various model evaluation techniques.

Public SectorHuman RightsMachine LearningPredictive Analysis

2023 – 2025

Software Engineer

Shell, Bengaluru

Built and deployed machine-learning forecasting pipelines in Databricks, cutting forecast error and enabling cost optimization decisions through predictive modeling.

Predictive AnalysisMachine Learning

Jan – Jul 2023

Technical Analyst Intern

Novartis, Hyderabad

Developed predictive and time-series forecasting models on supply chain and environmental operations data, supporting a Net-Zero initiative while also building an NLP pipeline for clinical trial documents.

HealthcareNLPPredictive Analysis

📎 1 file inside

Feb – Mar 2022

Data Visualization Intern

Saint Louis University

Turning raw campaign data into insights that informed targeting and strategy through analysis and interactive dashboards.

Statistical Modeling

📎 1 file inside

Education 🎓

2025 – present

Master of Science

Data Science

Columbia University, New York

Focus on machine learning, LLM systems, and causal inference, with coursework in applied deep learning and generative AI systems, alongside research on LLM projects.

2019 – 2023

Bachelor of Technology

Computer Science & Data Science

Vellore Institute of Technology (VIT)

Data Science coursework includes Machine Learning and Predictive Analytics, providing a strong foundation for AI engineering.

Teaching 🍎

💬

Fall 2026

Natural Language Processing

Teaching Assistant, COMS 4705

Columbia University, Computer Science, taught by John Hewitt

From tokenization and transformers through RLHF, agents and interpretability.

NLPGenerative AIDeep Learning

🏛️

Spring 2026

Artificial Intelligence for Public Policy

Teaching Assistant

Columbia University, School of International and Public Affairs (SIPA)

AI fundamentals for policy students, and how to turn a policy problem into an AI solution.

Public SectorMachine Learning

Skills 🛠️

LLM systemsRAGAgent orchestrationEvaluation harnessesGuardrailsPrompt engineeringContext engineeringNLPPythonTypeScript