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Bhuwanesh TripathiBT

Bhuwanesh Tripathi

AI Engineer

€219/day
Delhi, IN
8-15 years

Average response time: 1 hour

About Bhuwanesh

Data Scientist and ML Engineer with 10 years of experience building scalable machine learning systems, data platforms, and AI-driven solutions across cloud environments including Azure, GCP, and AWS.

- Expertise in NLP, recommendation systems, LLMs, embeddings, and production-grade ML pipelines, with strong hands-on experience in PySpark, Python, MLOps, and distributed data engineering.

- Proven track record of delivering end-to-end solutions that transform large-scale behavioural and unstructured data into actionable insights, personalization systems, and business impact.

- Strong background in production deployment, cloud-native architectures, and scalable AI systems.
  • English

    Native or bilingual

Can work on-site
Delhi (up to 50km)

Experience

  • Saksoft,
    Data Scientist"
    July 2025 - March 2026 (8 months)
    • • Experience with AWS Bedrock for foundation model access, prompt orchestration, and inference optimization
    • • Hands-on with AWS Agent frameworks (AgentCore / Bedrock Agents) for building autonomous task execution systems
    • • Designed multi-agent systems using orchestration frameworks (LangChain / LangGraph / Strands SDK)
    • • Optimized Athena query performance and table layouts through partitioning strategies and file optimization.
    • • Developed modular and reusable code components following engineering best practices.
    • • Led end-to-end data science delivery as an individual contributor, owning problem formulation, modelling approach, and client-facing insights.
    • • Writing Python, Pyspark & SQL queries to extract, transform and load data on Azure & GCP.
    • • Implemented Spark performance optimizations including partitioning, bucketing, broadcast joins, caching, and adaptive query execution to reduce job runtimes and infrastructure costs.
    • • Built end-to-end data pipelines integrating Azure Databricks with Azure Data Lake Storage (ADLS Gen2), Azure Blob Storage, Azure SQL etc.
    • • Built advanced Power BI reports and dashboards using optimized data models, complex DAX, and Azure-integrated data sources to support enterprise analytics and reporting.
  • Grethena,
    "Senior Data Engineer"
    August 2024 - May 2025 (9 months)
    • • Addressed data inconsistencies, bias, and redundancy through rigorous preprocessing, sampling strategies, and validation.
    • • Followed Azure Databricks development standards to modularize transformations, validate schema changes, and manage dependencies using notebooks and jobs.
    • • Designed and developed advanced Power BI dashboards and reports for executive and operational analytics, enabling data-driven decision making across business teams.
    • • Integrated Power BI with Azure Databricks, ADLS, Azure SQL, and BigQuery using Import, DirectQuery, and composite models based on performance requirements.
    • • Building efficient data pipelines using Cloud Data Fusion and different social channels (Facebook, Instagram channels, App data etc.) as source and GCS/BigQuery as Sink.
    • • Designed RAG pipelines with embeddings and vector databases for enterprise knowledge retrieval
    • • Implemented multi-agent orchestration patterns using LangChain / Strands SDK
    • • Designed and developed high-throughput data processing pipelines handling large-scale datasets
    • • Built REST APIs for exposing processed data and ML predictions to downstream systems
    • • Collaborated with cross-functional teams to understand data requirements and provide effective solutions.
  • Blue Yonder,
    "Senior Data Scientist"
    May 2024 - August 2024 (3 months)
    • • Built ML models for forecasting and optimization; automated pipelines using Airflow + MLflow.
    • • Developed dashboards and insights using SQL + Python-based data analysis.
    • • Created ADF pipelines for ingestion and transformation into centralized data warehouse.
    • • Engage with Stakeholders to gather comprehensive project requirements and demonstrated strong communication skills in translating needs into actionable plans.
    • • Perform data analysis and finding RCA of data related issues using Python and SQL.

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Education

  • Azure Data Science Associate (DP100)
    Azure Data Science Associate (DP100)
  • Databricks Certified Data Engineer Associate
    NTT Data Academy
    Databricks Certified Data Engineer Associate

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