About Me
I am an Aerospace Engineering student at RV College of Engineering with strong interests in Space Engineering, Nuclear Physics, and Astrophysics. My academic journey is driven by a deep curiosity about the fundamental sciences and a commitment to advancing aerospace technologies.
I enjoy addressing complex engineering challenges by developing innovative solutions through rigorous design, simulation, and analysis. Alongside my academic pursuits, I actively explore financial markets as a trader, investor, and budding algorithmic trader, sharpening my analytical and problem-solving skills in diverse domains.
My long-term goal is to contribute to the development of cutting-edge aerospace systems and technologies. I strive to deliver designs that are not only technically sound but also impactful and forward-looking, aligning with the vision of creating meaningful progress in science and engineering.
Education
RV College of Engineering
B.E. in Aerospace Engineering - Currently pursuing cutting-edge aerospace technologies and engineering principles. Focusing on aerodynamics and propulsion systems.
Presidency School Bangalore South
Higher Secondary Education (Classes 11 & 12) - Science Stream with focus on Physics, Chemistry, and Mathematics. Developed strong analytical and problem-solving skills.
Mitra Academy
Primary and Secondary Education (Classes 1 to 10) - Built strong foundation in academics and extracurricular activities. Developed core competencies and discovered passion for sciences.
Professional Experience
BOCK SPACE - Liquid Rocket Engine Design Intern
• Designed and analyzed liquid rocket engines, with focus on regenerative cooling systems and injector configurations.
• Performed Computational Fluid Dynamics (CFD) simulations for nozzle flows, combustion chambers, and turbopump components.
• Contributed to engine sizing, thermodynamic analyses, and system-level performance modeling.
• Conducted turbomachinery design and analysis, optimizing for thrust, efficiency, and reliability.
• Extensive knowledge in the design and analysis of coaxial bi-swirl injectors for improved combustion performance.
IIST Thiruvananthapuram - Research Intern
• Developed a machine learning model for determining species concentration in combustion flames using Tunable Diode Laser Absorption Spectroscopy (TDLAS).
• Conducted a parametric evaluation of fuel–air mixing using the Planar Laser Mie Scattering (PLMS) technique.
• Designed and implemented an experimental setup to generate a two-dimensional laser sheet of 4 cm length and 1 mm thickness using a Galilean beam expander configuration.
• Captured and analyzed scattered light using a high-speed imaging system, with post-processing performed in MATLAB.
• Determined the unmixedness factor to quantify and evaluate the mixing efficiency of fuel and air from the injector.
Skills & Expertise
Programming & Data Science
Python • MATLAB • Machine Learning • Data Analysis • Algorithm Development
CAD & Simulation
SolidWorks • CATIA • Fusion 360 • ANSYS • STK • HyperMesh • ParaView
Aerospace Tools
OpenRocket • CFD Analysis • Propulsion Systems Design
AI & Computational Intelligence
Large Language Models (LLM) • Ollama • RAG Systems • Predictive Modeling
Quantitative Analysis
Algorithmic Trading • Financial Modeling • Risk Analysis • Portfolio Optimization • Statistical Methods
Technical Computing
Numerical Methods • Optimization Algorithms • Time-Series Analysis • High-Performance Computing
Current Focus Areas
Aerospace Design
Advanced rocket engine designs and propulsion system analysis at a professional level.
CAD Modeling
Professional development of 3D models and technical drawings using SolidWorks and Fusion 360.
Data Analysis
Advanced analysis and visualization of complex engineering and financial data.
Featured Projects
Turbopump design
Designed a high-performance two-stage centrifugal turbopump for liquid rocket engines delivering RP-1 fuel at 100 kg/s, 35,000 RPM, with 175 bar pressure rise. Used 6061-T6 aluminum and Ti-6Al-4V titanium for optimized strength-to-weight ratio. Validated with CFD simulations for aerodynamic efficiency and pressure recovery.
View Project →Twin Spool Turbofan Engine
Engineered a twin-spool turbofan with independent LP (3,500 RPM) and HP (14,000 RPM) spools, achieving 900 kg/s mass flow with 9:1 bypass ratio. Design offers enhanced fuel efficiency, improved surge margin, and superior operability compared to single-spool configurations. Validated using rotor dynamics, thermal, and stress analyses.
View Project →Single Spool 5-Stage Turbine
Designed a five-stage axial turbine extracting 676.78 MW at 25,000 RPM with expansion ratio of 35, supporting 900 kg/s mass flow at 1173K inlet temperature. Used single-crystal nickel superalloy for first stage and conventional superalloys for subsequent stages. FEA stress, creep, and vibrational analyses ensure 20,000+ hour service life.
View Project →Gas Generator Turbine
Developed a single-stage turbine for rocket engine turbopump drive operating at 36,000 RPM with pressure ratio of 10 and 10 kg/s mass flow of fuel-rich combustion products at 172 bar. Advanced nickel-based superalloys withstand severe thermal and mechanical loads. Structural, thermal, and modal analyses validated reliability and performance.
View Project →AI-Powered CubeSat Constellation for Microplastic Detection and Classification
Developed an AI-powered dual 6U CubeSat simulation for marine microplastic detection using Sentinel-1 SAR and Sentinel-2 multispectral imagery. System fuses SAR sea surface anomalies with VNIR/SWIR hyperspectral signatures to identify PP, PE, PET, PVC, and PS polymers. Lightweight neural network (~3.6K parameters, 87.21% accuracy) with KMeans clustering for autonomous classification. Demonstrated scalable space-based approach for global marine pollution monitoring.
Showerhead Injector
Designed a showerhead injector with 1,500 elements (500 fuel orifices at 1.944 mm, 1,000 oxidizer at 3.12 mm) delivering 513.16 kg/s at O/F ratio of 6.03:1. Direct-injection configuration ensures robust atomization and uniform distribution with high reliability and ease of manufacturing. Orifice sizes and pressure drops analytically optimized for experimental rocket applications.
View Project →ANSA - Automated Meshing using ANSA Python API
Developed automated Python workflow for hexahedral mesh generation using ANSA CAE platform. Object-oriented pipeline supports parametric element sizes (3-7 mm), achieving >98% hex elements with aspect ratios <2.0, Jacobians 0.83–1.0, skewness <0.5. Modular class-based architecture with error handling and batch management enables repeatable, solver-ready mesh export for structural simulations.
Cloud-Based Smart Irrigation System
Developed cloud-based smart irrigation integrating ESP32, capacitive soil sensors, and OpenWeatherMap API with machine learning. System uses Blynk for remote monitoring and anticipates rainfall to avoid over-irrigation. Achieved 40% water reduction in field tests. Modular, cost-effective solution aligned with UN SDG 6 and 12 for sustainable agriculture.
Quantum Tunneling Sensor
Developed computational models using 1D Schrödinger Equation and Crank-Nicolson method in MATLAB to visualize quantum tunneling. Engineered a Quantum Tunneling Composite (QTC) sensor using PVA polymer matrix and Graphene Oxide, where pressure-induced compression exponentially reduces resistance via electron tunneling. Project explored quantum mechanics and nanotechnology for advanced sensing applications.
Smart Modular Workstation for Disaster Relief
Designed air-deployable four-module workstation for disaster relief with battery, IoT telemetry, satellite comms, medical supplies, and thermal imaging. CFD analysis reduced terminal velocity from 31 m/s to 6.2 m/s; FEA validated safety factor of 4 with 20 m/s impact survivability. Solar-powered sustainable design with GPS tracking operates in -10°C to 40°C for humanitarian emergency response.
Ionic Propulsion System
Research and development of ion propulsion systems for spacecraft, focusing on efficiency optimization and implementation of advanced thruster configurations.
View Project →Personal AI PDF Summarizer & Chatbot
An app to upload PDFs and interact with them, built with LangChain, Ollama, and Chroma DB. The model extracts relevant images, graphs and formulae.
View Project →AI Research Paper Downloader
Intelligent Python application automating research paper discovery from arXiv, DOAJ, PubMed Central, and PLOS ONE. Uses Ollama's Qwen3:8B to analyze content and filter results based on relevance, automatically rejecting irrelevant documents to save time and storage.
View Project →CAD Models & Simulations
Explore my comprehensive portfolio of CAD models and engineering simulations, featuring detailed aerospace components, propulsion systems, and structural analysis projects developed using industry-standard software including SolidWorks, ANSYS, and Fusion 360.
Launch Viewer