KANISHK
DHIMAN

Kanishk Dhiman

My journey didn't start with a computer science textbook — it started with curiosity about how systems work, whether that system was a piece of software or a financial market.

In mid-2023, I began trading financial markets independently, learning technical analysis through manual chart reading and discretionary decision-making. There was no shortcut — just hours of staring at candles, slowly building market intuition before any systematic approach existed.

At the same time, I was working through foundational programming concepts, slowly seeing a pattern: everything I did manually in markets could eventually be quantified, automated, and systematized. That realization connects everything I've built since.

MILESTONE 01LATE 2023 – 2024

The Systematic Shift

My trading evolved from pure discretion to systematic strategy. I moved deep into ICT and Smart Money Concepts — Fair Value Gaps, order blocks, liquidity sweeps, premium/discount theory. This wasn't just a trading evolution; it was the moment I started thinking like an engineer about markets.

I officially began my B.Tech in Computer Science with AI/ML specialization at Bennett University in July 2024, and almost immediately started building — an AI Crop Recommendation System (Smart India Hackathon finalist) and an Adaptive PDF Quiz Generator using a fine-tuned T5 transformer model. My first real full-stack-plus-ML builds: idea to deployed system, not idea to Jupyter notebook.

MILESTONE 02AUGUST 2024

Funded Trading & Validation

I became a Funded Trader at 5%ers.com, managing real allocated capital — not a demo account — using ML-informed systematic strategies. Over five months, I achieved an 80% win rate.

This mattered because it was proof that systematic thinking actually works when real money is on the line. It also taught me more about discipline, risk management, and performing under pressure than any classroom ever could.

MILESTONE 032025

Deep Technical Building Phase

My most technically intensive year. I built an ICT Price Action ML system using LightGBM to predict Fair Value Gap fills with 96.5% accuracy — literally systematizing the exact concepts I'd been trading manually for two years.

Followed by an ensemble trading system combining Temporal Fusion Transformers, CNNs, Graph Neural Networks, and PPO reinforcement learning. In parallel: Odus (AI Linux assistant via Gemini Vision), FinChat & LocalLens (RAG document intelligence with Armaan Choudhary), and PrismNet (edge AI — 6.3x inference speedup on object detection).

CURRENT STATUS2025 – PRESENT

Execution Mode

Transitioning into my 5th semester at Bennett University while actively pursuing freelance AI automation work, reaching out to companies for internship and engineering opportunities, and exploring how to turn two years of trading knowledge into educational content for other students navigating the same path.

Building this portfolio as part of that broader push — to have one place that actually represents the depth of what I've built, rather than scattered GitHub repos and a static PDF resume.

Technical Skills

Languages
PythonC++JavaSQLJavaScript
ML / AI
PyTorchTensorFlowLightGBMTransformersCLIPvLLMLoRA/QLoRAPEFTLlama.cppGemini APIOpenAI API
Agents & LLM Ops
LangChainLangGraphLlamaIndexCrewAIAutoGenDSPyWeights & BiasesMLflow
RAG & Retrieval
FAISSMilvusWeaviatePineconeQdrantBM25Cross-encoder Reranking
CV & Optimization
OpenCVTensorRTCUDART-DETRtorch.nn.utils.prune
Data & Streaming
PolarsDuckDBApache KafkaApache SparkRay
Backend & DevOps
FastAPIFlaskCeleryRedisPostgreSQLTimescaleDBDockerKubernetesAWS (EC2, Lambda, S3)PrometheusGrafana
Trading
MetaTrader 5CCXTBacktraderAlpaca APIQuantLib

WORK EXPERIENCE

AUG 2024{1}

FUNDED TRADER

5%ERS.COM

Managed $50,000 in allocated capital using systematic ML-driven trading strategies. Achieved an 80% win rate over a 5-month period and maintained a 1.8 Sharpe ratio. Built and deployed a production trading infrastructure with sub-100ms signal latency.

JUL 2023{2}

INDEPENDENT TRADER

& ML DEVELOPER

Developed ensemble ML trading models combining TFTs, CNNs, GNNs, and PPO reinforcement learning. Backtested strategies across 3 years of data. Processed over 1 million daily market data points using Polars and deployed containerized inference APIs on AWS.

JAN 2024{3}

AI AUTOMATION

ENGINEER (FREELANCE)

Built a multi-agent AI workflow automating lead qualification, processing 15,000+ leads/month. Reduced manual work by 85% through GPT-4 classification and Claude personalization. Implemented event-driven architecture using Celery and RabbitMQ.

SELECTED WORK
kanishk.dev/projects/ml-trading
01 / 04

ML TRADING SYSTEM

Ensemble Deep Learning for Systematic Market Prediction

Discretionary trading relies on human intuition, which doesn't scale and is inconsistent under pressure. Existing quantitative systems often use single-model approaches that fail to capture the multi-dimensional nature of financial markets — price action, temporal dependencies, and inter-asset relationships are treated in isolation.

ACADEMIC BACKGROUND
BENNETT UNIVERSITY Logo
2024 – 2028

BENNETT UNIVERSITY

B.Tech Computer Science

Specialization in AI & Machine Learning

Currently pursuing my undergraduate degree with a core focus on artificial intelligence, machine learning systems, and deep learning architectures. Building foundational knowledge in data structures, algorithms, and advanced OOP while actively applying them to real-world AI projects.

UNIVERSITY OF MARYLAND Logo
2022 - 2023

UNIVERSITY OF MARYLAND

Data Science and Business Analytics

Professional Capstone & Analytics

Completed a comprehensive professional certification in Data Science during my gap year. This period was heavily focused on building a systematic understanding of data, statistical analysis, and predictive modeling — which eventually laid the groundwork for my transition into ML-based algorithmic trading.

KEY ACHIEVEMENTS

AWARD / NATIONWIDE

SMART INDIA HACKATHON 2024 FINALIST

AgriTech crop recommendation solution, ranked among top teams nationwide, featuring a Progressive Web App with voice interface and multilingual support for farmers.

FINANCE / SYSTEMATIC

FUNDED TRADER STATUS

Earned the right to manage $50,000 in live capital through a rigorous evaluation process at 5%ers.com, then sustained an 80% win rate over 5 months.

OPTIMIZATION / EDGE AI

6.3X INFERENCE SPEEDUP

Compressed an RT-DETR object detection model by 49.7% in size while improving frame rate from 7 to 47.49 FPS, with negligible accuracy loss.

PROFESSIONAL DEVELOPMENT

CERTIFICATES

Continuous learning across AI/ML, software engineering, and data science.

PREVIEW
COURSERA

Accelerated CS Fundamentals

University of Illinois

PREVIEW
COURSERA

Google IT Support

Google

PREVIEW
COURSERA

Intro to Arm Architecture

Arm Education

PREVIEW
COURSERA

Google Cybersecurity

Google

PREVIEW
NPTEL

Software Engineering

NPTEL

PREVIEW
COURSERA

Accelerated CS Fundamentals

University of Illinois

PREVIEW
COURSERA

Google IT Support

Google

PREVIEW
COURSERA

Intro to Arm Architecture

Arm Education

PREVIEW
COURSERA

Google Cybersecurity

Google

PREVIEW
NPTEL

Software Engineering

NPTEL

PREVIEW
COURSERA

Accelerated CS Fundamentals

University of Illinois

PREVIEW
COURSERA

Google IT Support

Google

PREVIEW
COURSERA

Intro to Arm Architecture

Arm Education

PREVIEW
COURSERA

Google Cybersecurity

Google

PREVIEW
NPTEL

Software Engineering

NPTEL

PREVIEW
INFOSYS

Information Design Technologies

Infosys Springboard

PREVIEW
MATHWORKS

MATLAB Fundamentals

MathWorks

PREVIEW
MATHWORKS

Linear Algebra with MATLAB

MathWorks

PREVIEW
MATHWORKS

MATLAB Programming Techniques

MathWorks

PREVIEW
INFOSYS

Deep Learning

Infosys Springboard

PREVIEW
INFOSYS

Information Design Technologies

Infosys Springboard

PREVIEW
MATHWORKS

MATLAB Fundamentals

MathWorks

PREVIEW
MATHWORKS

Linear Algebra with MATLAB

MathWorks

PREVIEW
MATHWORKS

MATLAB Programming Techniques

MathWorks

PREVIEW
INFOSYS

Deep Learning

Infosys Springboard

PREVIEW
INFOSYS

Information Design Technologies

Infosys Springboard

PREVIEW
MATHWORKS

MATLAB Fundamentals

MathWorks

PREVIEW
MATHWORKS

Linear Algebra with MATLAB

MathWorks

PREVIEW
MATHWORKS

MATLAB Programming Techniques

MathWorks

PREVIEW
INFOSYS

Deep Learning

Infosys Springboard

PREVIEW
INFOSYS

Automation Testing

Infosys Springboard

PREVIEW
INFOSYS

Performance Testing

Infosys Springboard

PREVIEW
INFOSYS

ML using Python

Infosys Springboard

PREVIEW
INFOSYS

Data Structures & Algorithms

Infosys Springboard

PREVIEW
INFOSYS

Automation Testing

Infosys Springboard

PREVIEW
INFOSYS

Performance Testing

Infosys Springboard

PREVIEW
INFOSYS

ML using Python

Infosys Springboard

PREVIEW
INFOSYS

Data Structures & Algorithms

Infosys Springboard

PREVIEW
INFOSYS

Automation Testing

Infosys Springboard

PREVIEW
INFOSYS

Performance Testing

Infosys Springboard

PREVIEW
INFOSYS

ML using Python

Infosys Springboard

PREVIEW
INFOSYS

Data Structures & Algorithms

Infosys Springboard

4COURSERA
1NPTEL
3MATHWORKS
6INFOSYS
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MEANINGFUL.

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© 2025 KANISHK DHIMAN. ALL RIGHTS RESERVED.DESIGNED & BUILT BY KANISHK