About Me

I am a pre-final-year Aerospace Engineering student at RV College of Engineering, Bengaluru, with a focused interest in liquid propulsion, turbomachinery design, and computational fluid dynamics. My academic and professional work sits at the intersection of high-fidelity simulation and hardware-relevant engineering — from designing turbopumps at 35,000 RPM to building ML-based diagnostics for combustion research at IIST Thiruvananthapuram.

My engineering approach is grounded in first principles. Whether sizing injectors for a liquid rocket engine at BOCK SPACE, conducting parametric fuel-air mixing studies using laser diagnostics, or developing automated meshing pipelines for CFD workflows, I aim to produce work that is analytically rigorous and practically deployable. I am equally comfortable in design trade studies, CFD post-processing, and writing production-grade engineering tools in Python and MATLAB.

Beyond aerospace, I work on applied AI — building RAG systems, fine-tuning pipelines, and LLM-based research tools — and explore quantitative methods in algorithmic trading. My long-term goal is to contribute to advanced propulsion systems and space vehicle development, working at institutions where precision engineering and scientific ambition are held to the highest standard.

Education

2023 – 2027

RV College of Engineering, Bengaluru

B.E. in Aerospace Engineering — Pursuing specialisation in aerodynamics, propulsion systems, and computational simulation. Active involvement in design projects spanning rocket engine components, turbomachinery, and applied machine learning for engineering diagnostics.

2021 – 2023

Presidency School Bangalore South

Higher Secondary Education (Classes 11 & 12), Science Stream — Physics, Chemistry, and Mathematics. Developed a rigorous quantitative foundation that directly informs current engineering and simulation work.

2011 – 2021

Mitra Academy

Primary and Secondary Education (Classes 1 – 10) — Built core academic competencies across sciences and mathematics, with early interest in physics and space that shaped the direction of later engineering studies.

Professional Experience

Jul 2025 – Oct 2025

Research Intern — IIST Thiruvananthapuram

• Developed a machine learning model to determine species concentration in combustion flames using Tunable Diode Laser Absorption Spectroscopy (TDLAS).

• Conducted a parametric evaluation of fuel–air mixing behaviour using the Planar Laser Mie Scattering (PLMS) technique.

• Designed and implemented an experimental setup to generate a two-dimensional laser sheet (4 cm × 1 mm) using a Galilean beam expander configuration.

• Captured and analysed scattered light data using a high-speed imaging system; post-processing performed in MATLAB.

• Quantified mixing efficiency through the unmixedness factor derived from injector fuel–air scattering profiles.

Dec 2024 – Dec 2025

Liquid Rocket Engine Design Intern — BOCK SPACE

• Designed and analysed liquid rocket engine subsystems with emphasis on regenerative cooling systems and injector configurations.

• Performed CFD simulations for nozzle flows, combustion chambers, and turbopump components using ANSYS Fluent.

• Contributed to engine sizing, thermodynamic cycle analysis, and system-level performance modelling.

• Conducted turbomachinery design and analysis, optimising for thrust, efficiency, and structural reliability.

• Developed expertise in the aerodynamic and thermal design of coaxial bi-swirl injectors for improved atomisation and combustion performance.

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

LLMs Ollama RAG Systems Predictive Modelling

Quantitative Analysis

Algorithmic Trading Financial Modelling Risk Analysis Statistical Methods

Technical Computing

Numerical Methods Optimisation Algorithms Time-Series Analysis HPC

Current Focus Areas

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Aerospace Design

Advanced liquid rocket engine design and propulsion system analysis, with active work on turbopump components and injector configurations at a professional internship level.

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CAD & Simulation

High-fidelity 3D modelling and structural simulation of aerospace components using SolidWorks, CATIA, Fusion 360, and ANSYS for propulsion and aerostructural applications.

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Computational Fluid Dynamics

CFD simulation and post-processing for nozzle flows, combustion chambers, and boundary layer analysis, with automated mesh generation workflows for ANSYS Fluent environments.

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Applied AI for Engineering

Building ML-based diagnostic tools, LLM fine-tuning pipelines, and RAG systems for engineering literature and research — bridging computational intelligence with technical domains.

Featured Projects

Two-Stage Centrifugal Turbopump

Designed a two-stage centrifugal turbopump for liquid rocket propulsion, delivering RP-1 at 100 kg/s and 35,000 RPM with a pressure rise of 175 bar. Conducted material trade studies using 6061-T6 aluminium and Ti-6Al-4V titanium, and validated the flow path via CFD for aerodynamic performance and pressure recovery.

Showerhead Injector Design

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 optimised fuel and oxidiser orifice sizing, pressure drops, and distribution uniformity for robust atomisation, manufacturability, and reliable experimental propulsion performance.

Gas Generator Turbine

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. Included thermal, structural, and modal analysis for high-pressure, high-temperature operation, with nickel-based superalloy selection for thermo-mechanical durability.

Oberth Forge – Computational Engine Design Platform

A first-principles, algorithm-driven propulsion design platform that generates complete rocket engine geometry from mission inputs such as thrust, chamber pressure, and propellant selection. Integrates thermodynamic modeling, nozzle synthesis, regenerative cooling analysis, and voxel-based geometry construction to produce manufacturable, watertight STL outputs optimized for additive manufacturing.

Twin-Spool Turbofan Engine

Engineered a twin-spool turbofan architecture with independent LP and HP spools at 3,500 RPM and 14,000 RPM respectively, designed for 900 kg/s mass flow and a 9:1 bypass ratio. Assessed operability, surge margin, thermal behaviour, and rotor-dynamic performance in comparison to single-spool alternatives.

Single-Spool 5-Stage Axial 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; single-crystal nickel superalloy for the first stage, conventional superalloys for downstream stages.

Two-Way FSI Flutter Analysis & Aerodynamic Force Reconstruction

A high-fidelity two-way fluid–structure interaction (FSI) study conducted using ANSYS System Coupling to investigate flutter behavior of a cantilever aluminum plate across pre-flutter, critical, and post-flutter regimes. The workflow integrates transient CFD (Fluent) and structural dynamics with bidirectional data exchange to accurately capture aeroelastic coupling effects.

A structured probe architecture (48 probes across 16 locations) was implemented to extract strain, displacement, and acceleration data, enabling the development of an inverse framework for aerodynamic force reconstruction. The study successfully identified the critical flutter velocity (~51 m/s), captured nonlinear post-flutter limit cycle oscillations, and generated a high-resolution dataset for future data-driven modeling and sensor-based load prediction.

Y+ CFD Mesh Calculator

A comprehensive CFD pre-processing tool for wall-resolution estimation — computing y+, first-layer thickness, inflation layers, boundary-layer parameters, turbulence inlet quantities, GCI, CFL/timestep limits, domain blockage, and transition criteria. Supports laminar, turbulent incompressible, and compressible solver workflows.

OpenFOAM Case Generator — Browser-Based CFD Setup Automation

A fully browser-based tool for automated generation of OpenFOAM case file structures, eliminating manual dictionary editing for standard RANS and LES simulation setups. The tool accepts ANSYS Fluent ASCII mesh exports (.msh), parses boundary patches directly in-browser, and scaffolds the complete case directory including 0/, constant/, and system/ folders.

Boundary condition assignment is driven by an intelligent role-detection engine that classifies patches from mesh zone metadata, with per-field dropdowns covering the full OpenFOAM BC library — each option accompanied by inline hover tooltips explaining physical meaning, applicable fields, and common pitfalls. The numerics tab exposes solver selection (simpleFoam, pimpleFoam, rhoSimpleFoam), discretisation scheme presets, relaxation factors, and decomposition settings. An integrated turbulence inlet calculator computes k, ε, ω, and νt from intensity and length scale inputs using standard RANS closure relations.

Turbulence Model Selection — Interactive CFD Reference & Decision Platform

A browser-based interactive CFD reference platform designed to streamline turbulence model selection for RANS, LES, and hybrid simulations in OpenFOAM workflows. The tool combines engineering heuristics, turbulence-model databases, Reynolds-regime mapping, and wall-treatment guidance into a unified decision-support environment.

The platform features an intelligent model recommendation engine that evaluates Reynolds number, Mach number, geometry type, wall treatment, simulation objectives, transient behavior, and computational budget to rank suitable turbulence models including k-ω SST, γ-Reθ SST, Spalart–Allmaras, RSM variants, LES SGS models, and DES/DDES hybrids.

Additional modules include interactive Reynolds-regime visualization, turbulence sensitivity analysis, OpenFOAM dictionary generation, y⁺ and first-cell-height calculators, turbulence inlet-condition estimators, and extensive physics references covering DES shielding, wall-function theory, LES mesh requirements, and RANS closure behavior. The entire system operates fully client-side using pure HTML, CSS, and JavaScript without external frameworks.

ANSA — Automated Meshing via Python API

An automated Python workflow for high-quality hexahedral mesh generation using the ANSA CAE platform. The object-oriented pipeline supports parametric element sizing, batch processing, and repeatable solver-ready export — consistently achieving >98% hex elements with aspect ratio <2.0, Jacobian 0.83–1.0, and skewness <0.5 for structural simulation workflows.

7-DOF Robotic Arm End Effector for On-Orbit Satellite Servicing

Parametric CAD design of a kinematically redundant 7-DOF serial robotic manipulator with an adaptive four-finger end effector, compatible with a compact 48 mm docking interface. The model targets on-orbit servicing, satellite life-extension, and active debris removal applications. Architecture is inspired by Canadarm2 kinematics and incorporates a planetary gear-synchronised claw mechanism with ±7 mm radial misalignment tolerance, 176 mm maximum reach, and an estimated total mass under 2.5 kg. Structural design uses hollow aluminium booms with carbon fibre reinforcement, achieving approximately 60% mass reduction on primary boom sections.

Ionic Propulsion System

Research into ion propulsion system architecture, focusing on thruster efficiency, electric propulsion configurations, and system-level trade-offs for spacecraft applications. Explored implementation constraints and performance benchmarks relevant to next-generation in-space propulsion development.

Fourier Analysis Engine & Interactive Signal Processing Toolkit

A high-performance, browser-based Fourier analysis engine built from first principles in JavaScript, enabling real-time signal decomposition and spectral analysis without external libraries. The platform integrates custom DFT/FFT implementations, windowing techniques, and harmonic reconstruction to deliver accurate time–frequency insights.

The system supports interactive signal definition with live visualization of time-domain waveforms, magnitude and phase spectra, and energy distribution. Advanced modules include STFT spectrograms, phasor-based synthesis, aliasing demonstrations, cross-correlation, and research-oriented tools such as Welch’s PSD and structured data export for engineering analysis.

AI-Powered CubeSat Constellation for Microplastic Detection

Mission concept for marine microplastic detection using a dual-6U CubeSat constellation. Combined Sentinel-1 SAR and Sentinel-2 multispectral remote sensing data with a lightweight neural network and KMeans clustering for polymer class classification, demonstrating a scalable space-based environmental monitoring approach.

Smart Modular Workstation for Disaster Relief

An air-deployable modular workstation for disaster-relief operations, integrating power generation, telemetry, thermal imaging, medical payloads, and satellite communication. Applied CFD and FEA to improve descent characteristics and structural survivability, achieving significant terminal-velocity reduction with a validated impact safety factor.

Quantum Tunneling Composite Sensor

Built computational models in MATLAB using the 1D Schrödinger equation and the Crank-Nicolson method to visualise tunneling behaviour. Developed a Quantum Tunneling Composite sensor concept using a PVA polymer matrix and graphene oxide, connecting quantum mechanical modelling with pressure-sensitive material characterisation.

Production Dataset Extraction Pipeline for LLM Fine-Tuning

A fully automated local pipeline converting PDFs, DOCX, XLSX, PPTX, HTML, TXT, and CSV files into structured LLM training datasets. Performs semantic chunking, QA generation, quality scoring, deduplication, domain tagging, and Chain-of-Thought enrichment — exporting multiple training-ready formats including DPO preference pairs and multi-hop QA sets.

Personal AI PDF Summariser & Chatbot

A document-analysis application built with LangChain, Ollama, and ChromaDB, enabling PDF upload and content interaction through retrieval-augmented generation. Extracts text, images, graphs, and mathematical formulae to accelerate technical reading and engineering literature review.

AI Research Paper Downloader

An intelligent Python pipeline that discovers and filters research papers from arXiv, DOAJ, PubMed Central, and PLOS ONE. Integrates a local LLM-based relevance scoring engine to reject low-value results automatically, substantially improving the efficiency of technical literature collection.

Cloud-Based Smart Irrigation System

A smart irrigation system using ESP32 microcontrollers, soil-moisture sensing, weather-forecast integration, and cloud-based monitoring for automated water-management decisions. Combined machine learning with IoT control to reduce water consumption and improve field-level efficiency in a low-cost, sustainable deployment.

CAD Models & Simulations

A comprehensive portfolio of aerospace CAD models and engineering simulations — covering propulsion components, turbomachinery, structural analysis, and CFD-validated geometries. Developed using SolidWorks, CATIA, Fusion 360, ANSYS, and HyperMesh.

Launch Viewer

Let's Connect

I am open to research collaborations, technical discussions, and opportunities in propulsion, CFD, and aerospace systems. If you are working on something in these areas and believe there is potential for meaningful engagement, I would be glad to hear from you.