CV

Education

• B.E. (Hons.) in Electrical and Electronics Engineering from BITS Pilani - 2019
  • CGPA: 9.40, Graduated with Distinction.

Work experience

• Texas Instruments, Bangalore, India (July 2019 - Present)
  • Characterization of a 14-bit Ultra-Low-Power DAC.
• Research Assistant, BITS Pilani (August 2017 - December 2018)
  • Investigated both signal processing and circuit techniques for reference spur reduction in Analog Charge-Pump Phase-Locked Loops; Signal Processing techniques include Pulse Repetition and Randomisation.
  • Worked on a novel Phase-Frequency Detector architecture to tackle the problem of PFD/CP nonlinearity in Fractional-N PLLs. Simulation results showed that even in the presence of non-idealities, this method offered a lower spur than the existing techniques.
  • Carried out a study of loop-filter area reduction techniques in Analog Dual Charge-Pump PLLs.
  • Performed a detailed study of sampled loop-filter architecture and developed an LTI Continuous Time model of the Sampled Loop-Filter Charge-Pump PLL, to examine the effects of switch ON-time and its sizing on the PLL loop dynamics.
  • Investigated a wide swing loop filter capacitor leakage current cancellation circuit that tracks the control voltage and process variation.
• Research Assistant, BITS Pilani (May 2016 - August 2017)
  • Studied the optimal architecture for Adversarial Neural Agents in asymmetric board games with imperfect information.
  • Developed a Fuzzy-Granular Decision Tree, which gave a 20% increase in accuracy over existing work.

Publications

Towards Continuous Monitoring of Environment under Uncertainty: A Fuzzy Granular Decision Tree Approach

Reddy, Preetham N., Dambekodi, Sahith N., and Dash, Tirtharaj. "Towards Continuous Monitoring of Environment under Uncertainty: A Fuzzy Granular Decision Tree Approach" Innovations in Software Engineering (ISEC 2017), Jaipur, India .

Adversarial neural networks for playing hide-and-search board game Scotland Yard

Dash, Tirtharaj, Dambekodi, Sahith N, Reddy, Preetham N, and Abraham, Ajith. "Adversarial neural networks for playing hide-and-search board game Scotland Yard." Neural Computing and Applications 2018.

Awards

• Institute Merit Scholarship: Awarded tuition fee waiver for academic excellence. (January 2017 - June 2019)
• Ranked 2nd amongst a batch of 73 students during undergraduate study at BITS Pilani.

Internships

• Texas Instruments, Bangalore, India (January 2019 - June 2019)
  • Wrote the Final Test program of the device DRV8304S for the Automatic Test Equipment (ETS-364). Performed ATE characterization of the device and Functional Validation of its SPI functionality.
  • Liaised with the Applications and Design teams to understand customer issues and reproduce them on our lab benches.
• Central Electronics Engineering Research Institute, Chennai, India (May 2017 - July 2017)
  • Worked on the multivariate analysis for quality assessment of agro-food industry products using non-destructive Near Infra-Red Spectroscopy techniques.
  • Developed a Signal Pre-processing toolbox in MATLAB, to correct measurement errors in NIR Spectral Data. Further implemented regression, support vector machine, K-means to characterize the composition of new samples against existing baselines.

Skills

• Software: Cadence Virtuoso, ModelSim Altera, MATLAB, Eagle Vision, LabVIEW, Test Stand.
• Programming Languages: Verilog A, PSPICE, Verilog HDL, MATLAB, Python3.

Positions of Responsibility

• EEE Co-ordinator (Elected Representative, April 2017 - April 2018)
  • Represented the interests of the student population in various academic and administrative avenues. Responsible for the bring-up and management of technical activities on campus.
  • Invited member of the Student-Faculty Council and Council of Student Affairs.
  • Managed a workshop on Cyber Security, activities for ‘Department Week’ and other seminars.
• Co-Founder, The Student Forum BPGC (Founded - January 2018)
  • Managed publicity and logistics for the talks conducted by The Student Forum.
  • Created a pre-talk and post-talk checklist to standardize team practices across the years.

Talks

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, California

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA

Teaching

Reinforcement Learning

Microelectronic Circuits

Analog and Digital VLSI Design

Extra Curricular

• IEEE Student Member (IEEE-BPGC).
• Won 2nd position in the Air-Crash Investigation Competition held at Quark 2017. (February 2017)
• Won 1st position in the Air-Crash Investigation Competition held at Quark 2016. (February 2016)
• Attended a workshop on Computer Network and Management by NETTECH. (September 2015)
• Member of the organizing team for Waves (cultural fest) and Quark (technical fest). (2015-2016)