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
Y+ CFD Mesh Calculator
Developed a CFD pre-processing and wall-resolution calculator for estimating y+, first-layer thickness, inflation layers, boundary-layer parameters, turbulence inlet quantities, GCI, CFL/timestep limits, domain blockage, and transition criteria. Built to support laminar, turbulent incompressible, and compressible cases with solver-oriented outputs for mesh setup and verification workflows in ANSYS Fluent and related CFD environments.
View Project →ANSA - Automated Meshing using ANSA Python API
Developed an automated Python workflow for high-quality hexahedral mesh generation using the ANSA CAE platform. The object-oriented pipeline supports parametric element sizes, batch processing, error handling, and repeatable solver-ready export, while consistently achieving >98% hex elements with aspect ratio < 2.0, Jacobian 0.83–1.0, and skewness < 0.5 for structural simulation workflows.
Turbopump Design
Designed a two-stage centrifugal turbopump for a liquid rocket propulsion application delivering RP-1 at 100 kg/s and 35,000 RPM with a pressure rise of 175 bar. Performed design trade studies on geometry, materials, and operating conditions using 6061-T6 aluminum and Ti-6Al-4V titanium, and validated the flow path using CFD for aerodynamic performance and pressure recovery.
View Project →Gas Generator Turbine
Developed a single-stage gas-generator turbine for rocket engine turbopump drive, operating at 36,000 RPM with pressure ratio 10 and 10 kg/s mass flow of fuel-rich combustion products. Evaluated thermal, structural, and modal behavior for high-pressure, high-temperature operation and selected nickel-based superalloys to withstand severe thermo-mechanical loads.
View Project →Showerhead Injector
Designed a showerhead injector with 1,500 elements for a liquid rocket engine, delivering 513.16 kg/s at an O/F ratio of 6.03:1. Analytically optimized fuel and oxidizer orifice sizing, pressure drops, and distribution uniformity to achieve robust atomization, manufacturability, and reliable experimental propulsion performance.
View Project →Ionic Propulsion System
Worked on ion propulsion system research focused on thruster efficiency, electric propulsion architecture, and advanced configuration development for spacecraft applications. The project explored propulsion-performance trade-offs, implementation constraints, and system-level considerations relevant to next-generation in-space propulsion.
View Project →Twin Spool Turbofan Engine
Engineered a twin-spool turbofan architecture with independent LP and HP spools operating at 3,500 RPM and 14,000 RPM respectively, designed for 900 kg/s mass flow and 9:1 bypass ratio. Assessed operability, surge margin, thermal behavior, and rotor-dynamic performance to compare the configuration against single-spool alternatives.
View Project →Single Spool 5-Stage Turbine
Designed a five-stage axial turbine extracting 676.78 MW at 25,000 RPM with expansion ratio 35 and 900 kg/s mass flow at 1173 K inlet temperature. Performed stress, creep, and vibration assessments, using single-crystal nickel superalloy for the first stage and conventional superalloys for downstream stages to meet long-life high-temperature service requirements.
View Project →AI-Powered CubeSat Constellation for Microplastic Detection
Developed a dual-6U CubeSat mission concept for marine microplastic detection using Sentinel-1 SAR and Sentinel-2 multispectral data. Combined remote-sensing feature extraction with a lightweight neural network and KMeans clustering for classification of polymer classes, demonstrating a scalable space-based environmental monitoring approach.
Smart Modular Workstation for Disaster Relief
Designed an air-deployable modular workstation for disaster-relief operations integrating power, telemetry, thermal imaging, medical payloads, and satellite communication capability. Used CFD and FEA to improve descent characteristics and structural survivability, achieving substantial terminal-velocity reduction and a validated impact safety factor.
Quantum Tunneling Sensor
Built computational models in MATLAB using the 1D Schrödinger equation and Crank-Nicolson method to visualize tunneling behavior, and developed a Quantum Tunneling Composite sensor concept using a PVA polymer matrix and graphene oxide. The work connected quantum modeling with pressure-sensitive sensing behavior for advanced materials applications.
Personal AI PDF Summarizer & Chatbot
Built a document-analysis application using LangChain, Ollama, and ChromaDB to upload PDFs and interact with their content through retrieval-augmented generation. The system extracts relevant text, images, graphs, and formulae to support technical reading and faster literature review workflows.
View Project →AI Research Paper Downloader
Developed an intelligent Python pipeline to discover and filter research papers from arXiv, DOAJ, PubMed Central, and PLOS ONE. Integrated local LLM-based relevance analysis to reject low-value papers automatically and improve technical literature collection efficiency.
View Project →Production Dataset Extraction Pipeline for LLM Fine-Tuning
Developed a fully automated local pipeline that converts PDFs, DOCX, XLSX, PPTX, HTML, TXT, and CSV files into high-quality fine-tuning datasets for LLM training. The system performs semantic chunking, QA generation, quality scoring, deduplication, domain tagging, visual text extraction, and v3.0 enrichment with Chain-of-Thought traces, DPO preference pairs, and multi-hop QA, exporting multiple training-ready formats and detailed quality reports.
View Project →Cloud-Based Smart Irrigation System
Developed a smart irrigation system using ESP32, soil-moisture sensing, weather forecasting, and cloud-based monitoring for automated decision-making. Integrated machine learning and IoT control to reduce water use and improve field-level efficiency in a low-cost sustainable deployment.
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