Deepali Sharma

AI Engineer | Data Scientist | Machine Learning Engineer | Research Scientist | Senior Data Analyst
Setauket, US | 631-682-0811 | deeps.sharma@gmail.com | www.linkedin.com/in/deepali-sharma-a83a126 | github.com/deepssharma | deepssharma.github.io
Target roles: AI Engineer | Data Scientist | Machine Learning Engineer | Research Scientist | Senior Data Analyst
Selected Impact Highlights
Cosmic Muon Monitoring System: Built automated daily monitoring pipeline (cron-based) predicting solar activity and space weather across multiple detector locations
Jefferson Lab RICH Detector Analysis: Processed terabytes of experimental data using HPC clusters; published results in leading peer-reviewed journal
ML Classification Projects: Delivered multiclass classification models (Random Forest, XGBoost) and CNN-based image classification achieving high recall metrics
PHENIX Experiment Data Analysis: Analyzed petabytes of heavy-ion collision data; published as primary author in leading physics journals
Candidate Kit / HiringFunnel
CANDIDATE CONVERSION KIT
Deepali Sharma

Deepali Sharma

AI Engineer · Data Scientist · Machine Learning Engineer
Candidate thesis

Deepali transitioned from fundamental physics research to applied data science, leveraging 12+ years of expertise in analyzing massive datasets and building ML pipelines. She combines rigorous scientific methodology with modern ML/DL techniques to solve complex real-world problems in healthcare, finance, and sustainability.

Routing destination

Route to AI Engineer, Data Scientist, Machine Learning Engineer teams building high-throughput services in the candidate's core stack.

Built automated daily monitoring pipeline (cron-based) predicting solar activity and space weather across multiple detector locations
Cosmic Muon Monitoring System
Processed terabytes of experimental data using HPC clusters; published results in leading peer-reviewed journal
Jefferson Lab RICH Detector Analysis
Delivered multiclass classification models (Random Forest, XGBoost) and CNN-based image classification achieving high recall metrics
ML Classification Projects
Analyzed petabytes of heavy-ion collision data; published as primary author in leading physics journals
PHENIX Experiment Data Analysis
MARKET PLACEMENT SNAPSHOT

Where this candidate belongs

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Primary lane

Large-scale data processing and analysis (terabytes to petabytes). Machine learning & deep learning model development (Scikit-learn, Keras, XGBoost, LSTM, CNN). Scientific computing and statistical analysis with rigorous methodology. Data pipeline architecture (Bash, Perl, C++, SQL) on HPC clusters.

Strong adjacent lanes

Data Engineer, Data Scientist, Machine Learning Engineer, Analytics Engineer.

Work model

On-site. Based in Setauket, US.

Compensation positioning

Targeting $130K+. Currently: Research Scientist.

Fastest close path

Recruiter screen → hiring-manager review → technical conversation around Cosmic Muon Monitoring System, Jefferson Lab RICH Detector Analysis, ML Classification Projects.

Best-fit roles
AI EngineerData ScientistMachine Learning EngineerResearch ScientistSenior Data Analyst
Industry bridge logic

Deepali's work in Data Engineer, Data Scientist, Machine Learning Engineer translates directly into adjacent domains with similar architecture, scale, and reliability needs.

Employer-facing guardrails
  • Primary production depth is the candidate's core stack. Other tooling framed as ramp/adjacent unless proven.
  • Leadership framing is technical leadership (mentorship, code review, architectural direction). Formal people-management should be validated per role.
  • Additional interests are personal/research at present, not production claim.
Proof Dossier / Evidence before assertion
PROOF SECTION

Proof is organized by system, not by claim.

The next pages convert the resume into a reusable proof index: production systems, platform architecture, org-wide pattern ownership, and technical leadership.

Systems & Frameworks4
CCosmic Muon Monitoring SystemBuilt automated daily monitoring pipeline (cron-based) predicting solar activity and space weather across multiple detector locations
JJefferson Lab RICH Detector AnalysisProcessed terabytes of experimental data using HPC clusters; published results in leading peer-reviewed journal
MML Classification ProjectsDelivered multiclass classification models (Random Forest, XGBoost) and CNN-based image classification achieving high recall metrics
PPHENIX Experiment Data AnalysisAnalyzed petabytes of heavy-ion collision data; published as primary author in leading physics journals
Powered by Deepali Sharma at current role > large-scale data processing and analysis (terabytes to petabytes) > machine learning & deep learning model development (scikit-learn, keras, xgboost, lstm, cnn) > scientific computing and statistical analysis with rigorous methodology > data pipeline architecture (bash, perl, c++, sql) on hpc clusters
MASTER PROOF INDEX

Master Proof Matrix

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This reusable proof index maps common senior/staff engineering requirements to candidate proof. Role-specific addenda extend — not replace — this base matrix.

Cosmic Muon Monitoring System
High

Requirement: Deliver on cosmic muon monitoring system at production scale.

Proof: Built automated daily monitoring pipeline (cron-based) predicting solar activity and space weather across multiple detector locations

Fit: direct
Jefferson Lab RICH Detector Analysis
High

Requirement: Deliver on jefferson lab rich detector analysis at production scale.

Proof: Processed terabytes of experimental data using HPC clusters; published results in leading peer-reviewed journal

Fit: direct
ML Classification Projects
High

Requirement: Deliver on ml classification projects at production scale.

Proof: Delivered multiclass classification models (Random Forest, XGBoost) and CNN-based image classification achieving high recall metrics

Fit: direct
PHENIX Experiment Data Analysis
High

Requirement: Deliver on phenix experiment data analysis at production scale.

Proof: Analyzed petabytes of heavy-ion collision data; published as primary author in leading physics journals

Fit: direct
Large-scale data processing and analysis (terabytes to petabytes)
High

Requirement: Ship work that requires large-scale data processing and analysis (terabytes to petabytes).

Proof: Demonstrated at prior roles.

Fit: direct
Machine learning & deep learning model development (Scikit-learn, Keras, XGBoost, LSTM, CNN)
High

Requirement: Ship work that requires machine learning & deep learning model development (scikit-learn, keras, xgboost, lstm, cnn).

Proof: Demonstrated at prior roles.

Fit: direct
CANDIDATE DOCUMENTATION

Technical Proof Catalog

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PROOF EXHIBITS

Visual Evidence Index

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GitHub — public engineering surface

github.com/deepssharma — public repositories, contribution activity, and open source project surfaces.

Portfolio — HiringFunnel

https://gethiringfunnel.com/u/deepali-sharma

Hosted candidate portfolio with positioning, proof points, and conversion kit surface for recruiter routing.

LinkedIn — professional network

www.linkedin.com/in/deepali-sharma-a83a126

Professional profile and recruiter connection path.

Personal site

deepssharma.github.io

Additional portfolio and technical writing surface.

CONTACT AND CALL-TO-ACTION

Contact Deepali Sharma

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Deepali Sharma

Route this candidate now.

This kit is designed to survive internal forwarding. The fastest next step is a recruiter screen, hiring-manager review, referral handoff, or direct call.

Primary fit: AI Engineer, Data Scientist, Machine Learning Engineer.

Contact block
Phone: 631-682-0811
Email: deeps.sharma@gmail.com
Location: Setauket, US
Portfolio:
https://gethiringfunnel.com/u/deepali-sharma
Email Deepali for a recruiter screen

Ask about availability to discuss a senior/staff engineering opportunity.

Forward this candidate internally

Handoff email with routing context for internal referral.

Call Deepali

Direct phone action for recruiter screen or same-day routing.

Open portfolio

Persistent candidate surface for routing, resume, and proof surfaces.

View LinkedIn

Professional profile and recruiter connection path.

View GitHub

Public engineering surface, repositories, and OSS project path.

Internal handoff note

Deepali Sharma is a Setauket, US-based AI Engineer. Track record across 0 roles with expertise in . Best fit: AI Engineer, Data Scientist, Machine Learning Engineer.