Hafijur Rhaman

AI Engineer | Data Engineer | Data Science Engineer | Forward Deployed Engineer | Full-Stack Python Engineer | Integrations Consultant | Machine Learning Engineer | Senior Software Engineer | Solutions Consultant
New York, US | (818) 571-9315 | hrhaman229@gmail.com | www.linkedin.com/in/hafijur-rhaman | github.com/hafijur-python | rhaman.netlify.app
Target roles: AI Engineer | Data Engineer | Data Science Engineer | Forward Deployed Engineer | Full-Stack Python Engineer | Integrations Consultant | Machine Learning Engineer | Senior Software Engineer | Solutions Consultant
Selected Impact Highlights
Citigroup Currency Exchange Dashboard: Led Python team designing RESTful APIs and data pipelines for global banking transaction system handling international currency transfers
Customer Retention Modeling (Infosys): Engineered predictive churn model using XGBoost, SVC, Random Forest; feature engineering and model selection on multi-sector client data
Financial Data Analysis Tool (Citigroup): Created Pandas/NumPy statistical analysis and reporting engine for financial dataset insights and visualization
Sentiment Analysis NLP System: Built text classification pipeline using SVM, Random Forest, TF-IDF, NLTK to categorize opinions with high accuracy across product domains
Candidate Kit / HiringFunnel
CANDIDATE CONVERSION KIT
Hafijur Rhaman

Hafijur Rhaman

AI Engineer · Data Engineer · Data Science Engineer
Candidate thesis

Hafijur brings 8+ years of progressive experience as a Python developer and ML specialist, evolving from backend engineering at Verizon and United Airlines to leading full-stack initiatives at enterprise firms like Cisco, Infosys, and Citigroup. His arc spans data engineering, NLP/computer vision, REST API design, and team leadership—combining production-grade Python with modern DevOps and cloud deployment.

Routing destination

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

Led Python team designing RESTful APIs and data pipelines for global banking transaction system handling international currency transfers
Citigroup Currency Exchange Dashboard
Engineered predictive churn model using XGBoost, SVC, Random Forest; feature engineering and model selection on multi-sector client data
Customer Retention Modeling (Infosys)
Created Pandas/NumPy statistical analysis and reporting engine for financial dataset insights and visualization
Financial Data Analysis Tool (Citigroup)
Built text classification pipeline using SVM, Random Forest, TF-IDF, NLTK to categorize opinions with high accuracy across product domains
Sentiment Analysis NLP System
MARKET PLACEMENT SNAPSHOT

Where this candidate belongs

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Primary lane

End-to-end Python ML pipelines (regression, classification, NLP, computer vision). RESTful API design and microservice architecture at scale. PostgreSQL/MySQL/NoSQL schema design and optimization under high throughput. Team leadership and mentorship in Agile environments.

Strong adjacent lanes

Platform Engineer, Full-Stack Backend Engineer, Machine Learning Engineer, Data Engineer.

Work model

Remote-first. Hybrid considered for high-alignment local roles. Based in New York, US.

Compensation positioning

Targeting $80K+. Currently: Software Engineer at Pypes LLC.

Fastest close path

Recruiter screen → hiring-manager review → technical conversation around Citigroup Currency Exchange Dashboard, Customer Retention Modeling (Infosys), Financial Data Analysis Tool (Citigroup).

Best-fit roles
AI EngineerData EngineerData Science EngineerForward Deployed EngineerFull-Stack Python EngineerIntegrations ConsultantMachine Learning Engineer
Industry bridge logic

Hafijur's work in Platform Engineer, Full-Stack Backend Engineer, 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
CCitigroup Currency Exchange DashboardLed Python team designing RESTful APIs and data pipelines for global banking transaction system handling international currency transfers
CCustomer Retention Modeling (Infosys)Engineered predictive churn model using XGBoost, SVC, Random Forest; feature engineering and model selection on multi-sector client data
FFinancial Data Analysis Tool (Citigroup)Created Pandas/NumPy statistical analysis and reporting engine for financial dataset insights and visualization
SSentiment Analysis NLP SystemBuilt text classification pipeline using SVM, Random Forest, TF-IDF, NLTK to categorize opinions with high accuracy across product domains
Powered by Hafijur Rhaman at current role > end-to-end python ml pipelines (regression, classification, nlp, computer vision) > restful api design and microservice architecture at scale > postgresql/mysql/nosql schema design and optimization under high throughput > team leadership and mentorship in agile environments
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.

Citigroup Currency Exchange Dashboard
High

Requirement: Deliver on citigroup currency exchange dashboard at production scale.

Proof: Led Python team designing RESTful APIs and data pipelines for global banking transaction system handling international currency transfers

Fit: direct
Customer Retention Modeling (Infosys)
High

Requirement: Deliver on customer retention modeling (infosys) at production scale.

Proof: Engineered predictive churn model using XGBoost, SVC, Random Forest; feature engineering and model selection on multi-sector client data

Fit: direct
Financial Data Analysis Tool (Citigroup)
High

Requirement: Deliver on financial data analysis tool (citigroup) at production scale.

Proof: Created Pandas/NumPy statistical analysis and reporting engine for financial dataset insights and visualization

Fit: direct
Sentiment Analysis NLP System
High

Requirement: Deliver on sentiment analysis nlp system at production scale.

Proof: Built text classification pipeline using SVM, Random Forest, TF-IDF, NLTK to categorize opinions with high accuracy across product domains

Fit: direct
End-to-end Python ML pipelines (regression, classification, NLP, computer vision)
High

Requirement: Ship work that requires end-to-end python ml pipelines (regression, classification, nlp, computer vision).

Proof: Demonstrated at prior roles.

Fit: direct
RESTful API design and microservice architecture at scale
High

Requirement: Ship work that requires restful api design and microservice architecture at scale.

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/hafijur-python — public repositories, contribution activity, and open source project surfaces.

Portfolio — HiringFunnel

https://gethiringfunnel.com/u/hafijur-rhaman

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

LinkedIn — professional network

www.linkedin.com/in/hafijur-rhaman

Professional profile and recruiter connection path.

Personal site

rhaman.netlify.app

Additional portfolio and technical writing surface.

CONTACT AND CALL-TO-ACTION

Contact Hafijur Rhaman

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Hafijur Rhaman

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 Engineer, Data Science Engineer.

Contact block
Phone: (818) 571-9315
Email: hrhaman229@gmail.com
Location: New York, US
Portfolio:
https://gethiringfunnel.com/u/hafijur-rhaman
Email Hafijur 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 Hafijur

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

Hafijur Rhaman is a New York, US-based AI Engineer. Track record across 0 roles with expertise in . Best fit: AI Engineer, Data Engineer, Data Science Engineer.