Sahil Rane's Portfolio

Experience

Open to Opportunities

Writer

Medium · Self-employed

Nov'2022 – Present

⤷ Writing blogs on philosophy, psychology, history & life experiences:) | Sometimes I write 𝒑𝒐𝒆𝒎𝒔.

Blog

Poems

Contributor

Google DeepMind · Open Source

Sept'2026 – Present

⤷ Building neuro-symbolic AI agents and actively contributing machine-checked proofs to DeepMind repositories :)

Gen AI SDE

Wohlig · Internship

Oct'2026 – Present

⤷ Developing and integrating AI solutions leveraging LLMs, prompt engineering, model fine-tuning, and RAG architectures.

⤷ Building scalable microservices, APIs, and automated data pipelines with vector databases and inference systems.

⤷ Optimizing model latency, throughput, and compute costs using quantization, caching, and batching strategies.

AI Researcher

Tech Mahindra · Internship

Sept'2026 – Present

⤷ Conducting applied AI research with a focus on Large Language Models (LLMs) & Domain-Specific Language Models (DSLMs).

SDE

Godrej Infotech Ltd · Internship

Jun'2026 – Aug'2026

⤷ Developed a full-stack Non-Destructive Examination (NDE) Quality Testing platform using React, Node.js, and Express, managing industrial inspection workflows across RT, UT, MPT, and PT methods

⤷ Implemented dynamic data visualization dashboards with Recharts, full project CRUD management, and a multi-step inspection report wizard with draft auto-save and state restoration.

⤷ Designed and optimized NoSQL schemas in Amazon DynamoDB using Global Secondary Indexes (GSIs) for O(1) query lookups, preparing a serverless cloud architecture on AWS using AWS Amplify, AWS Lambda, and Amazon API Gateway.

Proof-of-Work

QuantDevs – Options Pricing Engine

IIT G Winner. Institutional-grade American options engine (Binomial Trees + Numba JIT, <100ms). Features EWMA volatility forecasting and a LLaMA-3.3 AI Consultant that translates complex Greeks into actionable trade memos.

Python Numba JIT LLaMA-3.3 yfinance

S-TARE – Aviation Intel

Palantir-inspired situational awareness platform. Orchestrates live OpenSky telemetry, localized weather fusion, and NTSB-RAG (FAISS) via a tiered AI pipeline. Rendered in a high-fidelity CesiumJS 3D tactical view.

FastAPI CesiumJS RAG llamacpp

Cerberus – ML-Guided Parallelizing Compiler

Intelligent ML compiler gatekeeper for GPU loop offloading. Analyzes C/C++ loops with LLVM Clang ASTs, probes physical silicon via direct OpenCL, and predicts speedup profitability with a Two-Stage Hurdle XGBoost model, achieving 91.3% gating accuracy with TreeSHAP & Roofline audits.

C++ / LLVM XGBoost OpenCL GPGPU Python

Advaita-Chita – State Steering

Research on Metacognitive Feedback Loops. Uses a Latent Centroid Observer to monitor hidden states of Qwen-2.5 in real-time, self-governing model entropy via a learnable Markov transition matrix.

PyTorch Qwen-2.5 Markov Chains Information Theory

Wolftor – STEM Visualizer

AI educator turning equations into Manim animations (3Blue1Brown style). Leverages Llama 3.3 for reasoning and Gemini 2.5 for visual scripting. FFmpeg-optimized backend for real-time synthesis.

Django Manim Gemini 2.5 FFmpeg

Scoutr – Autonomous ATS Scraper & Extension

Autonomous startup discovery engine with self-healing ATS scrapers (Ashby, Greenhouse, Lever, YC) repairing ASTs in <1.5s. Features Gemini 3.5 Flash Lite semantic re-ranking and a Manifest V3 Chrome Extension for 1-click in-browser form synthesis & autofill.

Chrome Extension Gemini API Bright Data Node.js

Stack & Tools

Bachelor of Technology ~ IT

University of Mumbai · CGPA: 8.6

2023 – 2027

• Core Coursework: Maths, Data Structures & Algorithms, Database Management Systems, Computer Networking, AI, DevOps.
• Interdisciplinary Electives: Social Psychology, Fundamentals of Bioinformatics.

Pre-University

Ramnarain Ruia Autonomous College, Mumbai

2021 – 2023

HSC · Vocational Electronics · A grade

• Electronics: Digital & analog electronics, circuit design, PCB layouts, integrated circuits (ICs), Boolean logic, signal processing, op-amps, encoders/decoders, etc.
• Core Sciences (PCM): Quantum physics, classical mechanics, advanced calculus, inorganic & quantum chemistry, etc.

Project Brief

Foundations of Deep Learning

NPTEL · IISc Bengaluru

Ongoing

Core Architectures: Multilayer Perceptrons (MLP), CNNs (AlexNet, VGGNet, ResNet), Autoencoders, VAEs, and Recurrent Neural Networks (RNN, LSTM, GRU).
Advanced Models & Optimization: Transformers, LLM Pre-training & Fine-tuning, Diffusion Models, GANs, Backpropagation variants, and Explainable AI (SHAP, LIME, Grad-CAM).

Human Behavioral Biology

Stanford University · Prof. Robert Sapolsky

Ongoing

Neuroscience & Endocrinology: Limbic system, prefrontal cortex dynamics, synaptic plasticity, neurochemistry (dopamine/serotonin), and behavioral endocrinology.
Behavioral Genetics & Evolution: Evolutionary psychology, gene-environment interactions, ethology, stress neuro-dynamics, and biological foundations of human behavior.

Fundamental Analysis Bootcamp

Finance & Economics Club · IIT Guwahati

Completed

Fundamental Analysis & Equity Valuation : Financial statement analysis (P&L, Balance Sheet, Cash Flow), financial ratios, forecasting, DCF modeling, and WACC.

Foundations of Machine Learning

Vizuara

Completed

Math for ML: Linear Algebra (Eigenvalues, Matrices), Probability & Statistics (Bayes, Distributions), and Multivariate Calculus.
Optimization & Implementation: Gradient Descent (SGD, Adam, RMSprop), Regularization, and programming algorithms from scratch alongside PyTorch & Scikit-Learn.

CS50 Program

Harvard University · CS50

Completed

Introduction to Databases with SQL : CRUD operations, joins, normalization, indexing, transactions & query optimization

Sahil Rane साहिल राणे

Experience

Proof-of-Work

QuantDevs – Options Pricing Engine

S-TARE – Aviation Intel

Cerberus – ML-Guided Parallelizing Compiler

Advaita-Chita – State Steering

Wolftor – STEM Visualizer

Scoutr – Autonomous ATS Scraper & Extension

Stack & Tools

BioLink IoT ⛨