Sachin KulkarniPune-INDIAMobile:+91 9049841675Email-sachinkulkarni.sk@gmail.com

SUMMARY: Good time management, communications, decision making, leadership and

planning skills with the ability to learn quickly. Development experienced in C, C++, J2SE, J2EE, C# .net, PHP, Java Scripts,

HTML. Very good understanding of Web based application developments concepts

and platforms. Good analytical skills to understand and adopt domain knowledge. Responsible for other duties as needed.

TECHNOLOGICAL SKILL PROFILE:

IDE Tools: Eclipse, Microsoft Visual Studio 2013.

Database: Oracle 11g, SQL Server 2008.

Development Platforms: MS .NET Framework

Languages: C, C++, J2SE, J2EE, C#.net, ASP.NET, PHP, Java Scripts, HTML.

Other: JQuery.

EDUCATION:

Post Graduate Diploma in Advanced Computing from CDAC, Pune(2016).

M.E. in Electronics (2013) from University of Pune with 8.02 CGPA.

B.E. in Electronics (2011) from Shivaji University with 69.63%.

HSCwith Science (2007) from Kolhapur Divisional Board with 75.83%.

SSC (2005) from Kolhapur Divisional Board with 76.66%.

ACADEMIC PROJECTS:

Project:Employee Utility ToolTechnology/Platform:Java, HTML.Description:Employee Utility Tool is a application which provides utilities likeSoftware requests, employee Time Sheet form and Leave Application. Forsoftware requests, employee mentions his requirements as per project

requirements and it is sent to manager. For time sheet form, employee has tomention his daily working hour duration and his tasks. For leave application,employee can apply for the leave to manager.

Project: Detection of Fetal ECG from Abdominal ECG recordings using ANFIS andEqualizerTechnology/Platform: Signal Processing, MATLAB.Description:FECG extracted from the maternal electrocardiogram (MECG) usinghybrid soft computing technique called Adaptive Neuro-Fuzzy Inference System(ANFIS) and Equalizer is used. For numerical evaluation, the mean square error(MSE) between denoised and FECG signal and original FECG signal and Peaksignal to Noise Ratio (PSNR) is used.

Project:Fetal ECG Extraction using FIR neural network.Technology/Platform: Signal Processing, MATLAB.Description:Finite impulse response filter is used with neural network structurefor fetal ECG extraction. Here FECG is filtered from abdominal ECG, which iscombination of both Fetus and mother ECG, using neural network structure, withadaptive linear finite impulse response filter.

BACKGROUND:

Worked as Assistant Professor at Bharati Vidyapeeth’s College of Engineering,Kolhapur(Jul-2014 to Feb-2016).

Worked as Trainer -Embedded Systems in HCL-CDC, Pune (Mar-2014 toJun-2014).

Published three papers in international journals. Strong skills in Embedded Systems and MATLAB software.

PERSONAL DETAILS:

Name: Sachin Shashikant KulkarniCorrespondence Address: Flat No.404, Sadashiv Residency, Sadashiv DangatNagar, Ambegaon Bk, Pune.-411 046.Permanent Address:’Shubhankar' bungalow, Patrakar Nagar, Near Telephoneoffice, Jath, Tal-Jath, Dist-Sangli.Date of Birth:23rd March 1990Sex &Marital Status: Male & Single.Languages Known: English, Hindi, Marathi, Kannada.Valid Passport: Yes

Declarations: I hereby declare that, information given above is true to the bestof my knowledge.

Sachin S. Kulkarni