Adluri Srikar
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Developer | Automation Engineering | BorgWarner | Ex-ABB | M.Tech @NIT Calicut (Industrial Power and Automation)| B.Tech @JNTUHCEJ(Electrical & Electronics Engineering)
Developer with ~3 years of experience in automotive and industrial automation systems, currently working at BorgWarner with prior experience at ABB. I have experience in developing scalable engineering tools, automation frameworks, and Python-based solutions for system testing and enterprise automation in automotive environments. Experienced in building automation utilities, API-driven workflows, validation tooling, and reusable frameworks that improve testing efficiency and reduce manual effort across projects. Skilled in: • Python Development • REST APIs & Object APIs • Automation Frameworks • System Testing & Validation • Enterprise & Engineering Tools Automation • Embedded & Automotive Systems • Workflow Optimization Passionate about solving engineering problems through software development, automation, and intelligent tooling. Currently expanding expertise toward AI/ML-driven automation and advanced software technologies. I bring a strong advantage of combining software automation expertise with domain knowledge in automotive and industrial systems. Let’s connect if you’re working in automotive, AI, Automation, or EV technologies.
National Institute of Technology Calicut
Master of Technology - MTech, Industrial Power and Automation
September 1, 2021 – July 1, 2023
National Small Industries Corporation Limited
Training, Solar PV System
May 1, 2019 – July 1, 2019
JNTUH College of Engineering Jagityala
Bachelor of Technology - BTech, Electrical and Electronics Engineering
January 1, 2017 – January 1, 2021
Sri Gayathri Junior College
Intermediate, MPC
January 1, 2015 – January 1, 2017
Siddartha High School Karimnagar Telanagana
Secondary (Tenth Class)
April 1, 2014 – March 1, 2015
BorgWarner
Developer - Engineering Software Tools & Automation
May 1, 2026 – Present
Bengaluru · Hybrid
BorgWarner
System Engineer - Enterprise Automation
August 1, 2023 – April 1, 2026
Bengaluru · Hybrid
ABB
Research And Development Intern
July 1, 2022 – June 1, 2023
Bengaluru · On-site
IEEE PES SBC NITC
Chair
June 1, 2022 – July 1, 2022
NIT CALICUT
IEEE PES SBC NITC
Membership Development Coordinator
March 1, 2022 – July 1, 2022
NIT CALICUT
IEEE PES SBC NITC
WEBMASTER
November 1, 2021 – March 1, 2022
NIT CALICUT
IEEE PES SBC NITC
IEEE VOLUNTEER
September 1, 2021 – June 1, 2023
NIT CALICUT
National Institute of Technology Calicut
Teaching Assistant
July 1, 2021 – June 1, 2022
Kozhikode, Kerala, India
Chegg India
Subject Matter Expert
April 1, 2021 – September 1, 2021
India
Multi-Spectral Image Binarization using GMMs : Clustering
May 1, 2022 – May 1, 2022
The goal of clustering is to divide items into groups such that objects in a group are more similar than those outside the group. Stepping aside from programming for a second, we can gain a better understanding of clusters. The most common and straightforward way to compare the similarity of two data points is by using distance. In the same way, you would use the Pythagorean theorem to find the length of the diagonal, we can calculate the distance between two data points. This method of comparing similarity is called Euclidean distance.
Iterative Figure-Ground Discrimination : Parametric vs Non Parametric Estimation
March 1, 2022 – April 1, 2022
The aim of the project is to present a segmentation method for figure-ground discrimination. The use of kernel density estimation for color distribution enables the automatic selection of weights of different cues based on the bandwidth calculation from the image itself. Consequently, the combination of kernel density estimation for color distribution and the iterative sampling-expectation algorithm has resulted in encouraging segmentation results.
Facial Recognition using Class Specific Linear Projection : Eigen Faces vs Fisher Faces
March 1, 2022 – March 1, 2022
The aim of the project is to design a facial recognition algorithm that can detect the face under varying lighting conditions and that facial expressions are implemented. All methods perform well if presented with an image in the test set which is similar to an image in the training set. The Fisher face method appears to be the best at extrapolating and interpolating over variation in lighting, although the Linear Subspace method is a close second. Removing the largest three principal components does improve the performance of the Eigenface method in the presence of lighting variation but does not achieve error rates as low as some of the other methods described here. The Fisher face method appears to be the best at simultaneously handling variation in lighting and expression. As expected, the Linear Subspace method suffers when confronted with variations in facial expression.
Crop Recommendations Using Naive Bayesian Classifier
February 1, 2022 – February 1, 2022
The aim of the project is the Recommendation of optimum crops to be cultivated by farmers based on soil and weather parameters for maximum yield and profit. And Machine Learning Predictive model is developed using a Naive Bayesian Classifier (in Python Programming Language). Hence we are able to predict the class of crop dataset based on the Naïve Bayes algorithm and recommend which crop to be cultivated in specified parameters. Before predicting the class of crop data set, we also checked the mean accuracy of the algorithm by training and testing it using k-fold cross-validation. We got satisfactory results with a mean accuracy of 99.467%.
Artificial Intelligence - Machine Learning Projects
February 1, 2022 – May 1, 2022
These are small coding Assignments or Projects done as part of the course curriculum. These are related to some Machine Learning Topics such as Gradient Descent, Linear Regression(one and multiple parameters), Logistic Regression(manual coding and using library function - one and multiple parameters), Normalization, Standardisation, TensorFlow, Backpropagation, Image Classification using CNN, Standard CNN using VGG, Object Detection using R-CNN, YOLO.
E - Motor Design using MotorXP Tool
January 1, 2022 – January 1, 2022
This Project is part of 2-days Workshop conducted by Reliamotive Labs. Speakers of the Workshop guided me to Design E-Motor (Stator and Rotor) through MotorXP Tool (Tesla Car Motor mainly). And I have observed the performance and characteristics of Motor with different parameters.
SELF OBSTACLE AVOIDANCE ROBOT CAR WITH BATTERY STATUS MONITORING SYSTEM
November 1, 2021 – January 1, 2022
The entire Project's aim is to develop a Self Obstacle Avoidance Robot Car which can avoid all Obstacles without hitting them and by itself turning in right path without the Driver Instructions. And hence it can be considered as a Self-Driving Car. Hence this can reduce Accidents and also makes Driving safer and easier. And also, this Robot Car has a Battery Status Monitoring System which updates the user about Battery Voltage and Percentage at any time and anywhere. So that user can know the condition of Battery and can take necessary steps to charge the Battery if Battery is about to Empty. And in this Project, I directly made Web request about the condition directly by sending a Gmail which is very easy and understandable to any type of user.
Industrial Visit Report - Preliminary Energy Audit
November 1, 2021 – December 1, 2021
Energy analysis is carried out for the industry and various energy saving oportunities are proposed and their feasibility have been informed to the concerned person in the industry.The main objective was to observe and practice how engineering is applicable in the real industry and the actual energy scenario in the industry and what can be the possible rectifiable measures in case of any inappropriate processes going on in the plant resulting to typical energy losses. It is not only to get experience on technical practices but also to observe management practices and to interact with fellow workers. It is easy to work with sophisticated machines, but not with people.
Intelligent Fractional Order Control Design for BLDC Motor
April 1, 2021 – July 1, 2021
An Intelligent Fractional Order Controller is designed and compared with integral order for a BLDC Motor.
WAVELET TRANSFORM BASED FAULT DETECTION IN SERIES COMPENSATED TRANSMISSION LINES
October 1, 2020 – February 1, 2021
This project presents a wavelet transform based approach for transmission line fault detection and classification that is a simple and effective. The power system faults such as LG, LL, LLG and LLLG have been detected and discriminated from each other using discrete wavelet transform. The WT based multi resolution analysis approach can be successfully applied for effective detection and classification and location of faults in transmission lines.
Simulation of Load Flow Analysis in Power System
May 1, 2020 – September 1, 2020
This project gives a brief view of Load Flow, classification of different types of buses, Load Flow equations and the various methods of solution of load flow problems. Moreover it tells us the comparison between different load flow solutions. Also the importance and objectives of load flow studies.
The Data Science Course 2023: Complete Data Science Bootcamp- Udemy
365 Careers
June 25, 2026 – Present
AI For Everyone (By DeepLearning.AI)
DeepLearning.AI
June 25, 2026 – Present
WORKSHOP ON "DESIGN YOUR FIRST E-MOTOR"
Reliamotive Labs
June 25, 2026 – Present
STOCK MARKET COMPETITION
B School Bulls
June 25, 2026 – Present
Data Science Orientation
IBM
June 25, 2026 – Present
Getting Started with SpecFlow in Visual Studio
SpecFlow
June 25, 2026 – Present
Machine Learning (By Standford Online)
Stanford Online
June 25, 2026 – Present
Introduction to the Internet of Things and Embedded Systems (By University of California Irvine)
University of California, Irvine Division of Continuing Education I Coursera
June 25, 2026 – Present
High Voltage Electric Safety Professional (HV ESP TUV)
TÜV Rheinland Group
June 25, 2026 – Present
Reinforcement Learning-Practical Workshop
AI Club NITC
June 25, 2026 – Present
Workshop on Deep Learning(AI) by PACELAB
Tathva NIT Calicut
June 25, 2026 – Present
Workshop on FPGA based controller for DC-DC Converter
IEEE PES SBC NITC
June 25, 2026 – Present
2020 Complete Python Bootcamp: From Zero to Hero in Python (By Jose Portila)
Udemy
June 25, 2026 – Present
ISTQB® Foundation Level
ISTQB® - International Software Testing Qualifications Board
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, spanning machine learning, image processing, control systems, and electrical engineering. While the target role is 'Data Analyst', a significant portion of their professional experience is in automation engineering within the automotive sector. The personal projects show an interest in data-related topics, but the core professional experience is more aligned with software/automation engineering. The certifications indicate an effort to upskill in data science and machine learning, which is positive for cultural fit towards a data-centric role, but the direct professional experience is not a perfect match for a senior Data Analyst role.
Soft Skills & Operational Fit
The candidate's experience as a Teaching Assistant and various IEEE volunteer roles suggests good communication, teamwork, and organizational skills. The project descriptions indicate an ability to articulate technical problems and solutions. Collaboration with cross-functional teams is explicitly mentioned in professional experience, indicating operational fit for team-based environments.