Mahak T.

Data Engineer

Hyderabad, Telangana, India4 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in building reliable data pipelines.
  • Strong background in AI and data science.
  • Experience with end-to-end data processing and model deployment.
Stackforce AI infers this person is a Data Engineer with a focus on Healthcare and AI-driven solutions.

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Skills

Core Skills

Data EngineeringMachine Learning

Other Skills

Automated large-scale medical data extractionPreprocessingYOLO12x model trainingStreamlit deploymentNLPRegexAI-assisted methodsQuantitative AnalyticsAnalyticsModelingData ModelingOrganization SkillsFundamentalsAnalytical SkillsComputer Vision

About

I’m Mahak Thakre, a Data Engineer with a strong foundation in AI and data science. I completed my B.S. in Data Science & Programming (IIT Madras) and hold a B.Sc. in Computer Science. I build reliable pipelines, turn messy data into analytics-ready datasets, and ship production solutions that power analytics and AI. In practice that means I’ve worked end-to-end: ingesting large datasets, cleaning and transforming them with PySpark/Databricks, modelling them into Bronze→Silver→Gold layers, and making them available for BI and ML. I focus on data quality, observability, and secure access so downstream models and analysts can trust the results.I’ve also delivered applied AI & web projects, which helps me bridge the gap between data pipelines and model/feature consumption:1. Built and deployed a TB detection pipeline (20K+ chest X-rays) — automated extraction, preprocessing, training and deployment.2. Implemented RAG search and NLP/regex-based chatbots to structure and serve unstructured documents.3. Developed a generative-AI integrated learning portal and several computer-vision and audio-detection projects with strong evaluation metrics.Core strengths1. Data engineering: PySpark, Databricks, Delta Lake, ETL/ELT design, SQL2. Cloud & deployment: Azure, basic AWS experience, Streamlit/Flask for model demos3. ML & AI: model integration, preprocessing, RAG, computer vision & audio detection4. Engineering practices: modular code, pipeline observability, data governance basicsWhat I’m focused on now1. Building production-grade pipelines and datasets for analytics and GenAI use cases2. Strengthening governance, lineage, and data quality practices in lakehouse architectures3. Collaborating with analytics and ML teams to turn models into reliable business featuresIf you’re working on data platform, analytics, or AI projects and want someone who understands both the pipeline and model side, let’s connect. I enjoy practical problem solving, clear system design, and turning prototypes into reliable, maintainable systems.

Experience

4 mos
Total Experience
4 mos
Average Tenure
4 mos
Current Experience

Kpi partners

2 roles

Data Engineer

Feb 2026Present · 4 mos · Hyderabad · On-site

Data Engineering

Data Engineer

Nov 2025Jan 2026 · 2 mos · Hyderabad · On-site

Neuzen ai

Ai engineer intern

May 2025Aug 2025 · 3 mos · Hyderabad, Telangana, India · On-site

  • Automated large-scale medical data extraction, preprocessing, YOLO12x model training, and Streamlit deployment for TB detection in the Swaas AI project, processing 20K+ chest X-rays.
  • Built NLP and Regex-based chatbots, structured complex PDFs, and integrated RAG search for the CSX Railbot project and deployed in AWS.
  • Researched and validated real-time price comparison tools and competitive pricing data across global and US markets using AI-assisted methods.
Automated large-scale medical data extractionPreprocessingYOLO12x model trainingStreamlit deploymentNLPRegex+3

Education

Indian Institute of Technology, Madras

Bachelor of Science - BS — Data science

Apr 2021Sep 2025

Raja Shankar Shah University, Chhindwara

Bachelor's degree — Computer Science

Jan 2020Jan 2023

M.C.S. Public School, Balaghat

12th — Science

Mar 2006Jun 2018

Makhanlal Chaturvedi National University of Journalism and Communication (MCNUJC), Bhopal

Master's degree — Computer Science

Aug 2025Present

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