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For recruiters 🧑🏽‍💻

Computer Science degree and two years shipping production software at Shell, now finishing a Data Science MS at Columbia. Comfortable owning a service end to end: the API, the pipeline behind it, the tests, and the deploy that puts it in front of people.

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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

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%.

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.

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

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.

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.

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.

Sentinel Intruder Detection System

github.com/rishika1099/Sentinel-Intruder-Detection-System | sentinel-ids.streamlit.app

An intruder-detection system fusing simulated Wokwi hardware sensors with computer vision (YOLO person + weapon detection, fire, and face recognition), wired to a Streamlit dashboard with real-time email alerts.

⬇ 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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Sentinel Intruder Detection System

🔐 Cybersecurity

📡 Internet of Things👁️ Computer Vision

An intruder-detection system fusing simulated Wokwi hardware sensors with computer vision (YOLO person + weapon detection, fire, and face recognition), wired to a Streamlit dashboard with real-time email alerts.

⭑ 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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Android Malware Analysis

🔐 Cybersecurity

🔐 Cybersecurity🧠 Deep Learning

Deep neural networks combining static + dynamic analysis to detect malicious Android apps.

⭑ Code

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Blockchain Secure Data Storage

🔐 Cybersecurity

Secure storage of encrypted medical/review data using ECDSA signatures, Proof of Work, and hash chaining.

⭑ Code

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 data, employing a hybrid regex and LLM de-identification layer for accurate processing.

HealthcareGenerative AINLP

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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, combining automated web search and evidence synthesis for explainable assessments.

Human RightsLegalGenerative AI

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Sep 2026 – Present

Ocean Carbon Data Valuation

Columbia Lamont-Doherty Earth Observatory (McKinley Group)

Extended a Data Shapley framework that values ocean measurements, implementing scalable approximations to make observation-level valuation tractable and informing observing-system guidance.

Machine LearningStatistical Modeling

👁️

Jul 2026 – Present

Ophthalmic AI & Eye Tracking

Columbia AI4VS Lab, Irving Medical Center

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

HealthcareComputer VisionDeep Learning

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 various analysis methods, including SHAP and LIME, to ensure policy defensibility.

Public SectorHuman RightsMachine LearningPredictive Analysis

2023 – 2025

Software Engineer

Shell, Bengaluru

Built and owned production data pipelines and feature engineering workflows end to end, applying CI/CD practices for reliable deployment of machine-learning forecasting solutions across 12 business units.

Predictive AnalysisMachine Learning

Jan – Jul 2023

Technical Analyst Intern

Novartis, Hyderabad

Engineered an NLP pipeline over clinical trial documents for drug-level sentiment mining and developed predictive forecasting models on supply chain data, automating tasks and saving significant manual effort.

HealthcareNLPPredictive Analysis

📎 1 file inside

Feb – Mar 2022

Data Visualization Intern

Saint Louis University

Delivered recommendations on budget allocation that improved campaign performance and ROI by analyzing Facebook ad campaign data to surface engagement patterns.

Statistical Modeling

📎 1 file inside

Education 🎓

2025 – present

Master of Science

Data Science

Columbia University, New York

Focused on machine learning and LLM systems, with coursework including applied deep learning and causal inference, and served as a teaching assistant for AI in public policy.

2019 – 2023

Bachelor of Technology

Computer Science & Data Science

Vellore Institute of Technology (VIT)

Completed coursework in machine learning, deep learning, and predictive analytics, alongside computer science and mathematics, graduating with a 4.0 GPA.

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 🛠️

PythonTypeScriptSQLReactNext.jsFastAPIDockerDatabricksCI/CDSystem designTesting