Hi, I'm Satvik
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Building intelligent systems that transform data into actionable insights. Passionate about AI, Machine Learning, and creating impactful solutions.
About
My Introduction
I’m Satvik Jain, a civil engineering major and computer science minor at IIT Bombay with a passion for AI and innovation. I’ve built impactful projects like AI chatbots, benchmarking platforms for LLMs, and multiple ML solutions. Skilled in Python, LangChain, and cutting-edge ML frameworks, I thrive at turning complex ideas into real-world applications. Let’s connect to create something transformative!
Experience
Projects
Worked
What I Do
Applied in industry-grade systems & real-world projectsMachine Learning & Deep Learning
Designing, training, and optimizing ML and deep learning models for real-world tasks across vision, language, and structured data—focused on performance, robustness, and scalability.
- Deep Learning (CNNs, Transformers)
- Computer Vision & Image Understanding
- Model Fine-Tuning & Optimization
- Evaluation, Error Analysis & Metrics
AI & LLM Systems
Building production-ready LLM applications, agents, and RAG pipelines with a focus on reliability, evaluation, and system design.
- RAG Pipelines & Knowledge-Augmented LLMs
- Multi-Agent AI Systems
- LLM Fine-Tuning & Prompt Engineering
- LLM Evaluation & Guardrails
ML Engineering & Deployment
Bridging models and production by deploying, monitoring, and scaling ML systems with real-world constraints.
- Model Deployment (APIs, Inference)
- ML Pipelines & Experiment Tracking
- Performance, Latency & Scalability
- Monitoring & Drift Detection
Data Science & Analytics
Turning raw data into actionable insights through statistical analysis, visualization, and data-driven modeling to support technical and business decisions.
- Exploratory Data Analysis (EDA)
- Statistical Modeling & Inference
- Data Visualization & Reporting
- Business & Product Insights
Experience
My journey in the academic & professional frontB.Tech
Indian Institute of Technology (IIT) Bombay, IndiaClass XII
Maths, Physics, Chemistry, Computer Science | St. Mary's Academy, IndiaClass X
Central Board of Secondary Education | St. Mary's Academy, IndiaAI Research Intern
SiemensAI Intern – Multi-Agent Systems and LLMs
Tarini ConsultingMachine Learning Engineer
NoQs DigitalSkills
Technical expertise & toolsMachine Learning & AI
LLM & Generative AI
Programming Languages
Frameworks & Libraries
Tools & Infrastructure
Other Skills
Projects
My independent projects & contributions
LLM - Large Language Mayhem
An interactive platform for benchmarking open-source LLMs, allowing users to compare responses, vote for the best model, and see dynamic performance updates in real time.
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Automating Replies and Post on Reddit using LLM
Leveraging large language models (LLMs) to automate Reddit messaging, enabling intelligent, efficient, and seamless communication within the platform for lazy content creators🥱.
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Asset AI : Your Financial Advisor
Asset AI is an intelligent financial advisor platform designed to provide personalized insights into stock markets, investments, and financial planning. It features a comprehensive learning roadmap and plans to incorporate live stock data analysis in future updates.
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Cat vs Dog Classifier by Fine Tuning VGG16
Built a high-accuracy Cat vs Dog classifier with Deep Learning using the VGG16 model with fine-tuning, transfer learning, and data augmentation.
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Image Segmentation and Background Blurring
Developed an automated background blurring system using TensorFlow DeepLab model.
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InstiGPT
InstiGPT uses state-of-the-art RAG techniques to efficiently and accurately find information related to IIT Bombay and answer the students' queries.
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Deep Learning for Erythroblast Cell Segmentation and Classification
This project explored deep learning and hybrid models for accurate segmentation and classification of erythroblast cells. It involved implementing CNNs, Vision Transformers, and ResNet-50 with hybrid classifiers.
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Next Word Predictor using LSTMs in NLP
A deep learning model based on Long Short-Term Memory (LSTM) networks designed for next word prediction. The model is capable of learning from a given text dataset and predicting the subsequent word in a sequence.
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Sraping Live Stock Data
A web scraping script using Python to extract real-time Nifty 50 stock data from NSE.
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Predicting Future Stock Prices
Developed models for stock price movements by using Monte Carlo Simulation and linear regression
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