Vetted Machine Learning Professionals

Pre-screened and vetted.

AA

Entry Machine Learning Engineer specializing in quantitative finance and DeFi

Built and deployed a production RAG chatbot using a vector database + LangChain-orchestrated pipeline, focusing on grounded, context-aware responses. Demonstrates practical trade-off thinking (retrieval quality vs latency/cost), hallucination control, and iterative improvement through logging, manual review, and stakeholder feedback loops.

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AR

Intern/Junior Software Engineer specializing in full-stack web development and machine learning

Salinas, CA3y exp
Tom Bengard Ranch Inc.California State University, Sacramento
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DS

Junior Full-Stack Developer specializing in React, Node.js, and AI/ML

Mumbai, Maharashtra, India3y exp
FreelanceVidyavardhini's College of Engineering and Technology
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Yash Sharma - Intern Full-Stack & Machine Learning Developer specializing in MERN and real-time systems in Punjab, India

Intern Full-Stack & Machine Learning Developer specializing in MERN and real-time systems

Punjab, India0y exp
CorizoLovely Professional University
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SS

Intern Full-Stack Developer specializing in MERN and applied AI/ML

Telangana, India
IOStreak SolutionsSR University
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TK

Intern Software Engineer with web development and machine learning project experience

Bhimavaram, India
ISROSRKR Engineering College
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MA

Entry AI Engineer specializing in machine learning, computer vision, and data mining

Houston, TX
University of DamascusUniversity of Damascus
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AY

Entry-Level QA Tester specializing in manual and API testing

Balige, Indonesia0y exp
PT Wibi Digital TechnologyDel Institute of Technology
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NZ

Intern Web Developer specializing in system testing and technical documentation

Tangerang, Indonesia1y exp
PT Alfatih Pilar PeradabanUniversitas Pendidikan Indonesia
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PR

Entry-level Product Manager and AI/ML Engineer specializing in agentic AI

California, USA1y exp
California Science & Technology UniversityCalifornia Science & Technology University
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Built an automated ML/NLP document classification system for unstructured legal documents, combining classical models (TF-IDF + logistic regression/random forest) with entity resolution via fuzzy matching validated by precision/recall. Also implemented semantic similarity search using sentence embeddings stored in FAISS and improved matching by fine-tuning a transformer on domain-specific data and tuning similarity thresholds for fewer false positives.

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HF

Intern Machine Learning Engineer specializing in NLP, RAG, and time-series forecasting

New York, NY0y exp
Gao TekVirtual University of Pakistan
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VV

Mid-level Data & Machine Learning Professional specializing in analytics and automation

3y exp
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SG

Sujay Godala

Screened

Entry-level student leader and developer specializing in FinTech and AI

Alpharetta, GA2y exp
National STEM Honors SocietyDenmark High School

Student leader with a mix of technical and business exposure: built AI-powered projects like PETQuest, served as President of FBLA and DECA, and led outreach for a Finance Club. Stands out for combining hackathon coding success (top 1-3 placements) with leadership experience managing and organizing activities for 200+ students.

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