Daanish Sharma

DevOps Engineer

India3 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in AI solutions and data processing.
Proficient in developing scalable data pipelines.
Strong background in full stack development.

Stackforce AI infers this person is a skilled Software Engineer specializing in AI, Data Engineering, and Full Stack Development.

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Skills

Core Skills

Ai Solutions EngineeringComputer VisionData EngineeringCloud DevelopmentFull Stack DevelopmentMachine LearningIot Development

Other Skills

Algorithm DevelopmentAutomationAzure Cloud ServicesAzure Data FactoryAzure DatabricksAzure DevOpsAzure DevOps ServicesC (Programming Language)C++Cascading Style Sheets (CSS)Computer ScienceCybersecurityData ArchitectureDatabricsDeep Learning

About

As a Software Engineer at Tredence, I work with cutting-edge technologies to deliver software solutions that meet the needs of our clients. Primary Skillsets include Apache Spark,PostgreSQL, Azure Cloud, Platform Development, Product Development

Experience

3 yrs 8 mos

Total Experience

11 mos

Average Tenure

1 yr 7 mos

Current Experience

Telus digital ai data solutions

AI Solutions Engineer

Nov 2024 – Present · 1 yr 7 mos · Bengaluru, Karnataka, India · Remote

Pre-Sales AI Solutions Engineer at Telus specializing in proof-of-concept development for AI powered data annotation and collection pipelines. Technical expert in LiDAR and computer vision data processing solutions for autonomous driving systems.
Experienced in developing workflows for Large Language Model training, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF).

LiDARcomputer visionLarge Language Models (LLM)data annotationdata collectionAI Solutions Engineering+1

Tredence inc.

Software Engineer

Jun 2023 – Nov 2024 · 1 yr 5 mos · Bengaluru, Karnataka, India

Developed scalable data pipelines using PySpark, Azure Data Factory, and HDFS.
Developed data platforms with Azure Cloud Services (Databricks,Data Factory) with Terraform(IaC) and Azure DevOps(CI/CD).
Product development for lake house data quality monitoring tool to ensure data observability, usability and correctness.
Developed data pipeline frameworks, reducing process failures and maintaining modular code with reusable components.(SOLID Design)

PySparkAzure Data FactoryHDFSAzure Cloud ServicesTerraformAzure DevOps+3

Samsung

Software Engineer

Mar 2023 – Jun 2023 · 3 mos · Gurugram, Haryana, India · Remote

Full stack software development using react,java spring boot
cleared Samsung Advanced Software Test (DSA)

ReactJava Spring BootFull Stack Development

Tel aviv university

Intern

May 2021 – Oct 2021 · 5 mos · Remote

Digital Village Project TIET-TAU joint initiative : https://www.digital-village.co.in/
Achievements/Tasks
Deep learning models Deep-fake Detection Challenge.
Deep learning models for Cassava Leaf Disease Classiﬁcation.
Unsupervised Ensemble Learning (Algorithm Development).
IOT Based Irrigation System ( Implement Food And Agriculture Organisation's white paper on irrigaton)
Contact : Dr.Parteek Bhatia - https://parteekbhatia.com/

Deep LearningIoTAlgorithm DevelopmentMachine LearningIoT Development