1. Sachin Kulkarni
Pune-INDIA
Mobile:+91 9049841675
Email-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%.
 HSC with Science (2007) from Kolhapur Divisional Board with 75.83%.
 SSC (2005) from Kolhapur Divisional Board with 76.66%.
ACADEMIC PROJECTS:
Project:Employee Utility Tool
Technology/Platform:Java, HTML.
Description:Employee Utility Tool is a application which provides utilities like
Software requests, employee Time Sheet form and Leave Application. For
software requests, employee mentions his requirements as per project

2. requirements and it is sent to manager. For time sheet form, employee has to
mention 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 and
Equalizer
Technology/Platform: Signal Processing, MATLAB.
Description:FECG extracted from the maternal electrocardiogram (MECG) using
hybrid 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 Peak
signal 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 structure
for fetal ECG extraction. Here FECG is filtered from abdominal ECG, which is
combination of both Fetus and mother ECG, using neural network structure, with
adaptive 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 to
Jun-2014).
 Published three papers in international journals.
 Strong skills in Embedded Systems and MATLAB software.
PERSONAL DETAILS:
Name: Sachin Shashikant Kulkarni
Correspondence Address: Flat No.404, Sadashiv Residency, Sadashiv Dangat
Nagar, Ambegaon Bk, Pune.-411 046.
Permanent Address:’Shubhankar' bungalow, Patrakar Nagar, Near Telephone
office, Jath, Tal-Jath, Dist-Sangli.
Date of Birth:23rd March 1990
Sex & 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 best
of my knowledge.
Sachin S. Kulkarni