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Khushal Kharade

AI Researcher

Dubai, United Arab Emirates9 yrs 2 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • 10 years of experience in Data and AI solutions.
  • Expert in Machine Learning and Deep Learning frameworks.
  • Proven track record in delivering data-driven business transformation.
Stackforce AI infers this person is a Data and AI expert in Telecommunications and Analytics sectors.

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Skills

Core Skills

Artificial Intelligence (ai)MlopsPredictive ModelingNatural Language Processing (nlp)Business Intelligence (bi)

Other Skills

Scikit-LearnAnomaly DetectionOCSAConversational AIResponsible AISpeech RecognitionInformation ExtractionMicrosoft AzureMCPAnthropic ClaudeAzure AI FoundryOpenAI API AssistantSemantic KernelAutoGenLong Short-term Memory (LSTM)

About

Data and AI professional with ~ 10 years of experience delivering end-to-end scalable analytics solutions across APAC and EMEA. Adept at spearheading Machine Learning initiatives, overseeing the entire lifecycle from data acquisition to model operationalization and monitoring, to deliver data-driven business transformation. A strong communicator and collaborator passionate about solving real-world business challenges through the strategic application of Data and AI. Highly Proficient in Statistics, Machine Learning (Predictive Modelling, Time Series Forecasting), Deep Learning (CNN, RNN, NLP), LLMs, Gen AI Agentic Frameworks, and cloud platforms (AWS, GCP, Azure). Skilled in: · Programming Languages - Python, SQL, PySpark, Cypher GraphQL, C++, Curl, YAML, MATLAB, Linux Shell · ML Frameworks- Scikit-Learn, statsmodels, XGBoost, SpaCy, Tensorflow, PyTorch, HuggingFace Transformers · MLOps - MLFlow, Docker, Terraform, Kubernetes, Airflow, Prefect, Kestra, Flask, FastAPI, Grafana, Evidently.AI, AWS Sagemaker, GCP Vertex AI · ETL – DBT, Postgres, BigQuery, Redshift, Cosmos DB, · Vector Stores - ElasticSearch, Weaviate, FAISS, Pinecone, Azure AI Search · LLMs - RLHF and LoRA Fine Tuning, Retrieval Augmented Generation · AI Frameworks - CrewAI, Langchain, LangGraph, Autogen, AWS Bedrock, Azure AI Foundry, Semantic Kernel, Model Context Protocol

Experience

9 yrs 2 mos
Total Experience
3 yrs
Average Tenure
--
Current Experience

Absolutdata analytics-an infogain company

2 roles

Associate Manager

Promoted

Apr 2021Apr 2025 · 4 yrs · United Arab Emirates · On-site

  • Senior Data Scientist at E& Enterprise Data and AI team.
Artificial Intelligence (AI)MLOps

Senior Consultant

Oct 2020Mar 2021 · 5 mos · United Arab Emirates · On-site

  • Data Scientist in Advanced Analytics Center of Excellence at e& International
Scikit-LearnPredictive Modeling

Tech mahindra

Tech Specialist

Jul 2019Jul 2020 · 1 yr · Within 23 wards, Tokyo, Japan · On-site

  • Onsite Data Scientist at Rakuten Mobile Inc.
  • Unsupervised Learning, NLP, Time Series Forecasting. Recommendation Engine.
Anomaly DetectionNatural Language Processing (NLP)

Tata communications

2 roles

Assistant Manager

Apr 2016Jun 2019 · 3 yrs 2 mos

  • Business Analyst - OSS Automation viz. Configuration/PMS/FMS
  • BI - NOC Performance and Faults monitoring.
  • YoY Network Capacity Forecasting.
  • Automated Network inventory Dashboard tracking bandwidth utilization.
  • ONF Certified SDN Associate - Designed Bandwidth On Demand solution for MAN.
OCSABusiness Intelligence (BI)

Global Campus Program Trainee

Jul 2015Mar 2016 · 8 mos

  • Automated Network Uptime computation (C++) for nationwide fiber network.
  • Learnt TCL OSS stack, tools and databases used for Network Operations and Maintenance.

Indian institute of technology, bombay

Graduate Teaching Assistant

Jul 2014Jun 2015 · 11 mos · Mumbai Area, India

  • Teaching assistant for graduate courses in EE department
  • 'Advanced computing for Electrical Engineers' (EE717);
  • 'Wavelets' (EE678); And
  • EdX online course EE210.X Siganls and Systems.

Tata power solar systems limited

R&D engineer - Project Trainee

May 2013Jun 2013 · 1 mo · Bengaluru Area, India · On-site

  • Designed a low-cost embedded system solution to remotely monitor solar power conditioning units (PCUs). Developed logic to capture, transmit, and log real-time operational data to a central server, enabling remote diagnostics and data-driven maintenance planning.

Education

Indian Institute of Technology, Bombay

Master’s Degree

Jul 2010Jun 2015

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