Altamash Khan

Altamash Khan

Did the war forge the spear that remained? No. All it did was identify the spear that wouldn't break

Altamash Khan

Altamash Khan

Did the war forge the spear that remained? No. All it did was identify the spear that wouldn't break

redbuffs

Resume

Oct 22, 20242 min read

AI and tech enthusiast, who loves to code.
Links: Gmail, Site, GitHub

Work Experience

Moneygram

Senior Software Engineer (ML) | Mar 2023 - Present | Bengaluru

  • Built Kubeflow MLOps with GitLab integration
  • Document intelligence projects: KYC verification (VLMs), data extraction models
  • Multilingual chatbot using Dialogflow CX with live agent handoffs, authentication
  • LLM applications: chat summarization, document QA, RAG pipelines for FAQs

Paytm

Senior Software Engineer (ML) | Dec 2022 - Mar 2023 | Bengaluru

  • ML orchestration framework using Azkaban and AWS EMR
  • Model performance improvements via feature engineering and class imbalance handling
  • Transient EMR cluster design for cost-efficient Spark jobs

Capgemini

ML Tech Lead | Apr 2021 - Dec 2022 | Bengaluru

  • Deployed DL models (CNNs, YOLO, Transformers) for Disney park safety monitoring
  • End-to-end MLOps pipeline on AWS with drift monitoring
  • Optimized Kubernetes for 48 cameras @12fps using 12 GPUs (<3s latency)
  • NVIDIA Deepstream POC for crowd density tracking

Data Engineer | Oct 2019 - Mar 2021

  • Built Python Data Lake framework with ETL, job recovery features
  • Large-scale migration: 15K+ tables from Teradata to Snowflake
  • Developed accelerators: SQL syntax converters, data validation tools

Education

NIT Silchar : M.Tech, Computer Science | Assam, India

Projects

Libraries / Frameworks

  • ocrtoolkit: ibrary for document intelligence to experiment and integrate with different OCR frameworks
  • visionlab: repo that modularizes several vision model innovations allowing one to (for example) slap a Ghostnet backbone with ViT style patching
  • ocrorchestrator: document key information extraction using LLMs along with support for custom APIs and a Gradio UI

ML Recipes

  • real-time video analytics recipe: doing small and large scale object detection from modeling to deployment using TorchServe
  • end-to-end-ml-recipe: End to End ML showcasing project layout, MLFlow tracking, persistent storage with Sqlite3 and Minio, containerization with Docker and industry coding standards.

For more, check out my GitHub.

Backlinks

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