Lakhan Raj Patlolla

Software Engineer

India11 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Big Data Analysis and Machine Learning Engineering.
  • Proven track record in optimizing industrial systems.
  • Strong background in data transformation and analysis.
Stackforce AI infers this person is a Data Engineer with expertise in Big Data and Machine Learning in the Manufacturing and Research industries.

Contact

Skills

Core Skills

Big Data AnalysisMachine Learning EngineeringData Engineering

Other Skills

Polynomial RegressionStatistical AnalysisReal-time Damage DetectionVibration AnalysisNI LabVIEWFFT SignalsData TransformationHadoop EcosystemNeutrino Oscillation ResearchGenerative AILLMsLarge Language Models (LLM)AWS SageMakerDeployment PipelinesManaging Machine Learning Production Systems

Experience

11 yrs 9 mos
Total Experience
4 yrs 1 mo
Average Tenure
9 yrs 10 mos
Current Experience

Apple

2 roles

Lead Software Engineer

Promoted

Nov 2018Present · 7 yrs 6 mos

Software Engineer

Jul 2016Nov 2018 · 2 yrs 4 mos

  • Wipro Ltd ( Contractor)

S & v solutions inc, usa

Data Engineer

Jan 2015Jul 2015 · 6 mos · Greater Rockford Area

  • Worked on Main Injector Neutrino Oscillation Research Project (MINOS) at FERMI Laboratory.
  • The MINOS Experiment is a long-baseline neutrino experiment designed to observe the phenomena of neutrino oscillations, an effect which is related to neutrino mass.
  • The huge amount of data generated from the device is transformed for further analysis using the Hadoop ecosystem.
  • An extensive analysis is done with the data generated from the previously failed locations and contributed in the Data transformations and analysis.
Data TransformationHadoop EcosystemNeutrino Oscillation ResearchData Engineering

Northern illinois university

Graduate Research And Teaching Assistant

Aug 2014Jul 2016 · 1 yr 11 mos · Rockford, Illinois Area, USA

  • Big Data Analysis on 3D Printer
  • Optimized 3D printer performance by analyzing large-scale sensor data using big data ecosystems. Employed polynomial regression and statistical analysis to identify key parameters and their interdependencies, directly contributing to improved product quality.
  • Damage Detection from Vibration Data
  • Developed a real-time damage detection system that analyzes vibration signatures from industrial equipment. Converted time-domain sensor data to FFT signals to monitor performance degradation and automatically trigger alerts (alarms, emails) when predefined thresholds were exceeded. This system was used to identify and diagnose common equipment faults like bearing defects and shaft misalignments.
  • Teaching Assistant: Mechanical Vibrations
  • Mentored students in advanced mechanical vibrations concepts, guiding them through lab experiments using sensors (accelerometers, impact hammers) and NI LabVIEW. Supported data analysis, project ideation, and problem-solving for real-world vibration challenges, fostering practical skills and critical thinking.
Big Data AnalysisPolynomial RegressionStatistical AnalysisReal-time Damage DetectionVibration AnalysisNI LabVIEW+1

Centre for artificical intelligence and robotics (drdo)

Summer Intern

May 2012Jul 2012 · 2 mos · Bangalore, India

  • Study of Development of Robotic Fish, Robotics Division

Education

Northern Illinois University

Master's degree — Mechanical Engineering ( Big Data Specialization)

Jan 2014Jan 2016

Jawaharlal Nehru Technological University

Bachelor's degree

Jan 2010Jan 2014

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