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Haider_Ali_AI_engineer_resume.md

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-## EDUCATION
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-## HAIDER ALI
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-Hali4@mail.yu.edu  · https://www.linkedin.com/in/haiderzali/ · https://github.com/AliHaider20
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-Fairfax, VA · (551) 344-4769
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-Yeshiva University - NYC, USA -Master of Science, Artificial Intelligence, May 2024
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-Mumbai University - Mumbai, India -  Bachelor of Science, Computer Science, Specialization in AI, May 2021
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-## PUBLICATIONS
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-- KatzBot : Revolutionizing Academic Chatbot for Enhanced Communication, May 2024
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-- Cow Teat Keratosis Classification : Data Augmentation Using Stable Diffusion for Imbalanced Biological Dataset, May 2023
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-## TECHNICAL SKILLS
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-- Languages  &  Frameworks: Python,  C++,  PyTorch,  JAX,  HuggingFace,  Transformers,  FastAPI,  REST  APIs,  LangChain, LangGraph, Semantic Kernel, Streamlit, Flask, FastMCP
-- MLOps,  Cloud  &  Data: AWS,  Azure,  GCP  (Vertex  AI),  Docker,  Kubernetes,  CI/CD,  MLflow,  LangSmith,  ONNX,  vLLM, Elasticsearch, Vector database, FAISS, PostgreSQL, MySQL, Pandas, HIPAA, EMR/EHR, FHIR, MCP
-- ML & GenAI: LLMs (GPT, BERT, Gemini), RAG, Prompt/Context Engineering, NLP, Vector search (sparse, hybrid), Tool calling, Model evaluations, Fine-tuning (QLoRA, AWQ/GPTQ, SFT), FSDP, FlashAttention, Computer Vision, Stable Diffusion, XGBoost
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-## EXPERIENCE
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-Credo Health -Machine Learning Engineer; Austin, TX
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-June 2024 - Feb 2026
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-- Built a hybrid re-ranking RAG pipeline serving concurrent multi-user EMR/EHR queries with real-time document ingestion
-- Reduced LLM prompt tokens by 30% via hash-based deduplication , lowering per-query inference cost at scale
-- Deployed an agentic chatbot framework achieving 96% accuracy , validated across thousands of QA test cases
-- Built a multi-judge LLM eval framework with physician golden sets running across all production agent outputs
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-S&P Global -Machine Learning Joint Research Project; NYC, NY
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-May 2023 - August 2023
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-- Scraped, engineered, and extracted relevant features of Global Precipitation Data from NASA's GDDP ( HDF ) files using R
-- Employed predictive modeling using features from KNN and CNN after morphological image analysis
-- Evaluated multiple super-resolution models; ESRGAN maintained 80% image quality while enhancing resolution
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-Kan Innovations -Machine Learning Engineer; Mumbai, India
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-## January 2022 - Feb 2023
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-- Developed foot imagery dataset using scrapers and pressure mat data, processed with Pix2Pix GANs
-- Leveraged DenseNet121 , DeepLabV3+ , and custom segmentation model to estimate the pressure points in a foot
-- Constructed 3D voxel foot meshes using Open3D library and Blender to help design insoles, reduced 40% foot deformity
-- Implemented BlazePose model for real-time pose estimation, enhancing gaming interaction reducing 20% foot deformity
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-## PROJECTS
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-## [Dedup-RAG MCP Server | github.com/AliHaider20/MCP-VectorDB-context-manager | MCP | VectorDB](http://github.com/AliHaider20/MCP-VectorDB-context-manager)
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-July 2026
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-- Built a local-first RAG pipeline as an MCP server, integrating FAISS search and SQLite metadata storage for Claude
-- Integrated jina-embeddings-v5 model with asymmetric query/document prompting for local, API-free retrieval
-- Designed a two-layer dedupication system that cut 34% of chunks from re-embedding and reduced context by 10%
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-## Credit card assistant | github.com/AliHaider20/Semantic-kernel-card-assist-agent | Prompt engineering February 2025
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-- Developed agentic AI chatbot using Semantic Kernel  with tool-calling for card operations and document Q&A
-- Built RAG pipeline ingesting PDFs, chunking via LangChain, and indexing with FAISS for grounded responses
-- Built reusable tool/skill abstractions with clear input/output interfaces for card operations and document retrieval
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-University Chatbot using LLM | github.com/AliHaider20/KatzBot-LLM | Paper |  pre-training LLMs December  2023
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-- Scraped, and synthetically generated 60K question-answer pairs and human using the NLPAug tool, BERT , and GPT models
-- Fine-tuned Phi 1.5B , Flan T5 , GPT 2 , and Mistral models using FSDP, QLoRA, SFT, and GRPO achieving 70% RougeL score
-- Instruction trained, and deployed a custom SLM model on local server using Streamlit and FastAPI
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-## ACHIEVEMENTS
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-- 1st place, GreyAtom Data Science Competition; top performer in 2 consecutive Python Hackathons (700+ participants)