Pranav Shukla
M.S. Mechatronics & Robotics | Innovator & Engineer
Driven by a passion for intelligent systems and cutting-edge technology. Advancing my expertise at NYU Tandon, leveraging a robust engineering and computer science background from IIT Kharagpur.
Resume Overview
Education
New York University Tandon School of Engineering
M.S. Mechatronics and Robotics (2024 - Present)
Brooklyn, NYC
Indian Institute of Technology Kharagpur
B.Tech and M.Tech (Dual Degree) in Structural Engineering
Minors: Computer Science and Engineering; Embedded Control, Software and Design (2017 - 2022)
Core Competencies
Languages: Python Bash C++ VBA SQL APL XML JS
Development: Git CV2 React/Native Selenium Fenics ROS
Machine Learning: SAS Tableau Big Data OpenAI API Pytorch Pydantic AI VLA Ollama CrewAI Autogen
Hardware: Mechatronics Control Systems Prototyping
Platforms: MATLAB Solidworks Gazebo Abaqus Staad Verilog Arduino Raspian MS Office
Professional Experience
Graduate Adjunct - Automatic Control Lab
New York University Tandon School of Engineering (2025 - Present)
- Teaching ME-UY 3411 covering experiments across Data acquisition, PID, LQR controls and real time system analysis.
Matlab Simulink PID Control LQR Control Systems Analysis
Business Analyst - Business Intelligence Unit
Axis Bank, Mumbai (2022 - 2024)
- Developed pre-qualified banking product strategies using customer demographics, delinquency and bureau credit data; managed monthly releases, performance tracking dashboards, and automation pipeline.
- Ran simulations to identify database enhancements, then worked with Business, DE, DS, and Risk teams for actualization.
SAS SQL Data Analytics Big Data Version Control Automata
Data Science Intern - Business Intelligence Unit
Axis Bank, Mumbai (2021 - 2021)
- Implemented and validated 3 machine learning models (DT, MLP, Random Forest) for credit score prediction, optimized for biased datasets, ensuring accurate risk assessment and performance tracking using alternative data streams.
Python Tensorflow Numpy Big Data Jupyter
Embedded Team Head - Swarm Robotics Research Group
IIT Kharagpur (2019 - 2022)
- Deployed decentralised algorithms on 10 Kilobots by K-team such as, alloting ID, shape formation and segregation.
- Designed prototypes for self assembling modular bots that can autonomously assemble/dissemble adding functionality.
- Implemented ad-hoc networking for routerless P2P transmission and mesh routing protocols (BATMAN, OLSR) to enable automated rerouting in response to architecture changes like signal loss or node addition/removal.
- Led the Embedded team and oversaw the Deployment of electronic and mechanical stack for vision-based swarm-bots.
ROS Arduino Linux Control Systems Computer Vision Simulation Mechatronics
Extracurricular & Leadership
- Teaching Assistant for Courses: Monte Carlo Simulations and course: Construction, Planning and Management.
- Governor - Technology Literary Society, IIT KGP - Led a society of 80+ students, Editor of the campus magazine, Alankar.
- Captain of Product Design Team IIT KGP GC, 2019-2020.
- In the NSS, ran rural clothes donation drives.
- Other Projects: Slayer Exciter, Vision Based Gerontechnology, Panorama Image Stitching, VIO localisation.
Highlighted Projects
Embodied AI Mobile Manipulator
(Agentic Framework, Vision Language Models)
Developed a mobile manipulator with a lift and differential drive, controlled by a vision-language model. The agent framework can create, schedule, and execute new tasks based on user text input. (Segmented VLA).
RSSI based Indoor Localisation System
(ESP Microcontrollers, Wireless Communication)
Designed a Wifi Enabled ESP-Based Localization for triangulation of ground bot position within a 10 cm error margin. Used orientation specific isotropy, RSSI strength and experimentally validated distance mapping.
Inhomogeneity Detection using ANN
(Numerical Methods, Machine Learning for Inverse Cauchy Problems)
Designed an algorithm to detect damages inside structures using partial boundary data and domain equations. Implemented an ANN to solve a 2D elliptic PDE and an alternating minimization algorithm to detect material coefficient changes.
D.R.D.O. SASES UAV Fleet Challenge
(SLAM, Google Maps API, Networked Swarm Robotics)
Developed an ad-hoc networked decentralised swarm of 4 drones for an autonomous vision-based search and rescue task. Used Mavros, OLSR mesh routing, and Google Cloud APIs for realtime mapping.
Let's Connect
I'm always excited to discuss new projects, innovative ideas, or potential collaborations. Please feel free to reach out!