Nipun Suresh | EE20B091 | INDIAN INSTITUTE OF TECHNOLOGY MADRAS
EDUCATION AND SCHOLASTIC ACHIEVEMENTS
Program Institute % / CGPA Year
B.Tech in Electrical Engineering Indian Institute of Technology, Madras 8.77/10 2024
Class XII (CBSE) P S Senior Secondary School 494/500 2020
Class X (CBSE) P S Senior Secondary School 485/500 2018
• Secured All India Rank 718 in the JEE Advanced, out of 160k students attempting the exam.
• Secured All India Rank 1109 in the JEE Mains, the first stage to the JEE Advanced, out of 10 lakh people.
• Secured 380/450 in BITSAT exam, and received Computer Science in BITS Pilani
• Pursuing minor in Pure Mathematics, taking advanced courses like Functional Analysis and Algebraic Topology
• Received commendation in 12th standard for being in the top 0.1% in Mathematics and Computer Science
PROFESSIONAL EXPERIENCE
Quantitative Research Intern (May-Jul’23)
• Worked with the ‘Deep Research’ team, involved in new sector alphas and novel trend analysis.
WorldQuant
• Developed uncorrelated data analytic methods of analysing short-term changes in sentiment data.
Research
• Heavy emphasis on using novel mathematics, under direct supervision of a regional research director.
• Built end-to-end Python package to access trend functions in user-friendly way
Campus Ambassador
Infosys • Campus Ambassador for Infosys, selected using performance in HackWithInfy 2022
• Interfaced with placement team and company HR team, to coordinate events
RESEARCH EXPERIENCE
B.Tech Project under Dr. Krishna Jagannathan and Dr. Srinivas Reddy, Electrical Engineering Dept, IIT Madras
Multi-armed
• To analyze how MABs perform under real-life limits of communication systems, such as performance under
bandits and
erasure channels and bitrate limits for conveying reward
communications • Study how to incorporate channel state information, and best-arm identification in these scenarios
Course project and Dissertation for ‘Stochastic Modelling and Theory of Queues’
MAC with • Analyzed a few research papers studying multiaccess channels from dual perspectives for novel results
queueing theory • Information theoretic bounds and queuing theory theorems were combined, included presentation
COURSE WORK
Pure Functional Point-set Abstract Probability with Linear
Mathematics Analysis Topology Algebra Measure theory Algebra
Applied Information Pattern recognition Game Principles of Design of
Mathematics Theory & ML Theory Economics Algorithms
PROJECTS
Program by Finlatics to gain exposure regarding investment banking, private equity & venture capital
Investment • Assess investment proposals and identify start-ups with high growth potential. Additionally, it engages in the
Banking set-up of a Private Equity fund. Weekly projects in the form of case studies.
Program • Acquisitions and general working of investment banks is discussed using case studies
Numerical Methods course project
Runge-Kutta • Developed C programs for applying Runge-Kutta methods (RK3, RK4, RK45) to numerically solve the Landau-
ODE Solver Lifshitz-Gilbert Equation, characterizing magnetization dynamics in ferromagnetic materials.
Applied Programming Lab project
Netlist Circuit
• Developed a Python project that processes .netlist files from LTSpice, utilizing Modified Nodal Analysis
Solver (MNA) to extract and provide a wide range of essential circuit parameters as output.
POSITIONS OF RESPONSIBILITY
• Part of the Software Module. (May-Nov 2021) Team Abhiyaan is involved in building robust and precise
Team Abhiyaan autonomous vehicles
• Projects include using ROS, SLAM to generate map of unknown location, kinetic control of robot
FR Coordinator • Managing all offline requirements for Saarang (Cultural Festival of IIT Madras
for Saarang • Had to interface with dealers to procure everything from chairs to lighting, ensuring setting up of banners
SKILLS AND OTHER RELEVANT DETAILS
• Novel idea using EMA indicator was used to build trading strategy with consistent sharpe > 1.25
Miscellaneous
• Trained a neural network over a fashion dataset of 60,000 images, to detect a cloth with accuracy 84.3%
projects
• Developed ML models for sequence detection, processed dataset for better performance on LSTM, SVM
Software Skills Languages – Python, C++, C, MATLAB, Latex, Assembly in AVR and ARM
Software – LTSpice, Atmel Studio, ROS, AVR, VSC, Windows, Linux, MS Office
Libraries - NumPy, SciPy, Sympy, Pandas, Scikit-learn,
