Building Automation Engineer

SRAVANI VANGA

ï www.linkedin.com/in/sravani-vanga # ****************@*****.*** I +1-816-***-****

SUMMARY

Skilled Building Automation Engineer with 2 years of expertise in designing, installation, commissioning of low volt- age systems and Building Automation System. Proficient in troubleshooting and ensuring compliance with industry standards. Excels in collaborating with clients, contractors, project teams to deliver quality, sustainable projects. SKILLS

• Programming Languages: Verilog, RTL, C, Python, SQL

• Software and Tools: AutoCAD, MATLAB, Multisim, Cadence, Microsoft Offic, Eagle, MobaXterm

• Platforms: Arduino IDE, Kaggle, Google Colaboratory.

• Engineering Expertise: SCADA Systems, PLC Programming, Building Automation, Embedded Systems and Networking.

• Soft Skills: Problem Solving, Time Management, Leadership, Team Player. EDUCATION

Masters in Electrical and Computer Engineering 2024 - Present University of Missouri - Kansas City, Kansas City, US

• GPA: 4.0/4.0

• Related coursework: VLSI, Digital electronics, ASIC Verification, Computer Engineering Bachelor of Technology in Electronics and Communication Engineering 2018-2022 CVR College of Engineering, Hyderabad, India

• GPA: 3.5/4.0

• Related coursework: Computer Organization and Architecture, Verilog, Control Systems. EXPERIENCE

AdaniConnex - Hyderabad, India (Aug, 2022 - June, 2024) Assistant Manager - Integrated Building Management System (IBMS)

• Lead site execution as a Site Engineer for Integration Building Management System (IBMS), integrating service equipment and panels into Edge OS.

• Managed the implementation of Extra Low Voltage (ELV) systems, including Fire Alarm Systems (FAS) and VESDA.

• Integrated HVAC, Fire Fighting, ELV, Security, and Electrical Panels into EdgeOS using Modbus TCP/IP for NOC room implementation.

• Implemented the SCADA System for GIS (33KV capacity) by integrating HT and LT equipment.

• Supervised the Security Package, including Access Control Systems (ACS), Door Locking Management, and CCTV installation.

• Deployed an AI-based CCTV monitoring system (T-Pulse) to detect safety violations and hazardous condi- tions.

• Acted as Daily Activity Briefing (DABs) Coordinator, ensuring smooth contractor coordination for efficient site operations.

• In charge of Testing and Commissioning Team, successfully leading the commissioning of Fire Alarm System

(FAS), Building Automation System (BAS), and other critical systems for a 9.6MW data center.

• Successfully commissioned and handed over the 9.6MW data center to the client within the scheduled time- line.

EdgeConnex – Amsterdam, Europe ( May, 2023)

Global Connex Training Program

• Completed Global Connex Training, a professional skill development program focused on data center con- struction.

• Recognized by W.Media – Global as the Best Skill Development Initiative.

• Conducted site visits to two Major Amsterdam data centers for enhanced knowledge of design and construc- tion requirements.

Persistent Systems - Hyderabad, India (Feb, 2022 - July, 2022) Intern - Software Engineer

• Developed hands-on expertise in SQL and Java, contributing to software development projects. PROJECTS

ASIC Design and Verification of Basic logic gates

University of Missouri, Kansas City : August 2024 - December 2024

• Created schematic representations of various logic gates and conducted simulations to ensure correct func- tionality.

• Developed physical layouts for each gate design and completed DFT.

• Generated the final layouts into a GDSII file, the standard format for IC manufacturing. ELV and BMS Systems Execution and Commissioning in Data Center – 9.6MW (Base Building – 20MW) Adani Connex : March 2023 – December 2023

• ELV systems and IBMS Installation in Data center – 9.6MW (Base building – 20MW)

• Coordinated with the design team and contractors to ensure the successful installation and integration of systems.

Access Control System and AI-Based CCTV Installation Adani Connex : November 2023 – February 2023

• Successfully installed Access Control System (ACS) for office buildings.

• Deployed an AI-based CCTV system on-site to enhance safety and security, capturing unsafe acts, haz- ardous conditions, and unusual behaviors on-site.

Hyperparameter Tuning using Convolutional Neural Networks for Image Classification CVR College of Engineering - May 2022

• Developed an image classification neural network using Convolutional Neural Networks (CNN) and fine- tuned hyperparameters for improved accuracy.

• rained the model using the CIFAR-10 dataset (60,000 images) and experimented with different combinations of epochs, learning rates, and layers.

• Analyzed model performance using Confusion Matrix and key performance indicators, achieving optimized training and testing accuracy.

Real-Time Gender Classification using Facial Images CVR College of Engineering - January 2022

• Developed a real-time neural network model for gender classification (male/female) from facial images using CNN.

• Trained the model on a dataset of 160,000 images and compiled the code in Google Colaboratory using relevant libraries.

• Achieved 92 percentage accuracy in gender classification, with performance metrics such as Loss and Ac- curacy as outputs.

AWARDS

• Runner up – Adani “Think Tank” competition for the idea presentation on Gas Suppression System for Data- center.

• Spot Recognized for implementing AI based CCTV system.

• Awarded as Business wise Top Learner of the Year – 2022.

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