Hardik Khichi

Lead ML Engineer

South Delhi, Delhi, India4 yrs 9 mos experience
Highly Stable

Key Highlights

  • Expert in Full Stack Development and Machine Learning.
  • Proven track record in building impactful data-driven solutions.
  • Strong experience in cloud computing and data science.
Stackforce AI infers this person is a Full Stack Software Engineer with expertise in Machine Learning and Cloud Computing.

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Skills

Core Skills

Machine LearningWeb DevelopmentData ScienceCloud Computing

Other Skills

BigQueryCouchbaseDBData MiningFlaskGoogle Cloud PlatformGoogle DataFlowJavaJavaScriptPandasPyTorchPythonReactReact.jsSQLScikit-Learn

About

Full Stack Software engineer and ML enthusiast.

Experience

4 yrs 9 mos
Total Experience
3 yrs 4 mos
Average Tenure
1 yr 5 mos
Current Experience

Keysight technologies

Senior Machine Learning Engineer

Jan 2025Present · 1 yr 5 mos · Gurugram, Haryana, India · Hybrid

American express

3 roles

Software Engineer II - NGDM (Data Services)

Nov 2022Jan 2025 · 2 yrs 2 mos

Software Engineer III - NGDM (Data Services)

Aug 2021Oct 2022 · 1 yr 2 mos

  • Built the landing website of NGDM Department to showcase all the tools and services being provided.
  • Developed a product to enhance the cost and performance of internal database services by finding In-Active or Overused servers based on storage, memory, or disk space.
  • Worked on an automation framework for providing reporting, provisioning, maintenance, notifications, sanity, and health checks of various database services used within the organization

Software Engineer Internship

May 2020Jul 2020 · 2 mos · Gurgaon, Haryana, India · Remote

  • Designed a User-story prioritization and recommendation ML Model and API using Python (Flask, Scikit-Learn) for Agile Development tools like Rally/Jira. GAMS was used for discrete optimization.
  • Implemented a dashboard using React with Redux to visualize data stored in CouchbaseDB with data pipelines in Java(Flux & Mono) to integrate with the Agile tool framework.
  • Deployed the infrastructure after unit testing in Junit. Presented a working application in an internal innovation hackathon and reached the top 10 among 100+ participants all over India.
  • Other frameworks and libraries used - NLTK, JavaScript, Java, Spring, Flux, Mono, CouchbaseDB.

Flipkart

Data Science Research Internship

May 2019Jul 2019 · 2 mos · Bengaluru, Karnataka, India · On-site

  • the project aimed to uncover potential novel attack vectors in the context of fraud and abuse of the marketplace norms and regulations.
  • On the technical side, the project utilized scalable anomaly detectors based on dense sub-tensor mining.
  • Languages and Frameworks used - Python, Java, PyTorch, Pandas, Seaborn

Rategain

Data Science and Cloud Computing Internship

May 2018Jul 2018 · 2 mos · Noida Area, India · On-site

  • Implemented Pipelines for a Demand Forecasting Model using Google DataFlow and BigQuery.
  • Feature engineered, productionised, and implemented debugging and stack tracing for the same.
  • Contributed to the development of an in-house NLP Engine to be used in various other products.
  • Worked extensively on Google Cloud Platform. Participated in a 4-day training workshop by Google on Data Engineering on GCP.
  • Other Languages and Frameworks used - Python, Java, SQL, Apache Beam, Google Cloud DataPrep, Apache Superset, Apache Airflow.

Education

Indian Institute of Technology, Delhi

B.Tech & M.Tech (Dual Degree) — Computer Science

Jan 2016Jan 2021

Tagore Baal Niketan, Karnal

High School

Jan 2014Jan 2016

St. Theresa Convent School

Primary and Secondary School

Jan 2007Jan 2014

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