Hi! I'm Ankush

I leverage AI and Machine Learning to solve real-world problems.

About

I'm a Mechanical Engineer from IIT Delhi, now driving AI innovation as an AI/ML Engineer. My focus is on solving real-world problems using machine learning, LLM-based automation, and advanced data engineering. Passionate about rapid prototyping, end-to-end ML pipelines, and multidisciplinary collaboration, I enjoy building scalable solutions — from retrieval-augmented generation platforms to model-based optimization and full-stack data apps.

Click any tag below to see what's behind each interest.

Mechanical Engineering

End-to-end Pipelines

Sports

Programming

Multidisciplinary

Rapport

Creativity

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Skills

Programming & Data

C++, Python, MATLAB, SQL, MongoDB, Git, GitHub, Docker, REST APIs, FastAPI, Flask, Streamlit, Node.js

ML/DL Frameworks & Libraries

PyTorch, TensorFlow, Keras, scikit-learn, Hugging Face Transformers, LangChain, FAISS, vLLM, Weights & Biases

NLP & LLMs

LLM fine-tuning, Retrieval-Augmented Generation, SBERT, regression-based NLP pipelines

Problem-solving

DFMEA

Simulation

DSA

Data Analysis

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Projects

Discrete Simulation Optimization for ML HP Tuning

Optimization Performance: Developed scalable, high-efficiency Python-based stochastic optimizers for automated ML hyperparameter tuning, significantly reducing simulation tuning latency by 30% in complex, large-scale high-dimensional discrete search spaces (20+ parameters).
Algorithmic Robustness: Engineered and rigorously validated advanced AHA & SR methods with statistically significant gains over strong baselines on WDBC(0.89MCC,t-test), enabling balanced classification in robust simulation-driven optimization workflows.

Hyperparameter Tuning

Discrete Simulation Optimization

Demand Forecasting and Exponential Smoothing

Improved accuracy in demand forecasting leading to optimized inventory management and reduced stockouts.
Enhanced decision-making capabilities for supply chain planning and resource allocation using time-series analysis.

Demand Forecasting

Time-series

Exponential Smoothing

Projects

Markowitz Portfolio Optimization System

Quantitative Finance Engineering: Designed industry-grade mean-variance optimization engine utilizing Markowitz Portfolio Theory and convex programming, enabling optimal asset allocation with up to 20% reduction in portfolio risk at targeted returns across diverse asset pools.
Analytics Platform Delivery: Deployed interactive web platform supporting 100+ automated scenario analyses with live efficient frontier plotting, Sharpe ratio benchmarking, and constraint management—empowering financial practitioners to evaluate and visualize risk/return trade-offs in real time.

CYXPY

Time Series Analysis

Risk-Return Analysis

4-Wheeler Steering System Design

Developed the kinematics of steering and suspension hard points, optimized position validating ADAMS analysis
Evaluated Kingpin moment for various contact patch geometry, transmission ratio, and consequently, steering effort.

Suspension Hard-points

Rack and pinion

Steering Effort

Background

Industry Experience

Bajaj Auto Limited, Pune, Maharashtra, India [July 2023 - Present]
Assistant Manager, 4Wh Vehicle Design

Colonist LLC, United States (Remote)[April 2023 - September 2023]
Quality Assurance Tester

Research Experience

McGill University, Montreal, Quebec, Canada[May 2022 - July 2022]
Summer Research Associate under Prof. Adam Hendricks

National Tsing Hua University, Taiwan (Remote)[June 2021 - July 2021]
Summer Research Associate under Prof. Lee-Wei Yang

Education

Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India[July 2019 - June 2023]
Bachelor of Technology in Mechanical Engineering

Springfields College, Moradabad, Uttar Pradesh, India[July 2016 - May 2018]
Indian School Certificate Examinations

Tiny Tots College, Moradabad, Uttar Pradesh, India[Apr 2014 - May 2016]
Indian Certificate of Secondary Education

You can download my CV here.

Awards and Recognitions

MITx MicroMasters in Supply Chain Management

Successfully passed (DI) the MicroMasters in Supply Chain Management affiliated to Massachusetts Institute of Technology (MIT). [2023-2024]

SC0x: Supply Chain Analytics
Core methodologies used in supply chain analysis and modeling, including statistics, regression, optimization and probability.
SC1x: Supply Chain Fundamentals
Fundamental concepts for logistics and supply chain management from both analytical and practical perspectives.
SC2x: Supply Chain Design
Design and optimization of the physical, financial, and information flows of a supply chain to enhance business performance.
SC3x: Supply Chain Dynamics
Management and harnessing of the dynamics and interactions between firms and entities within a supply chain.
SC4x: Supply Chain Technology and Systems
Use of technology in supply chain systems from fundamental concepts to innovative applications.

MITACS Globalink Research Internship

Selected among top 1% for undergraduate research in Canada with 10000+ eligible applicants. [2022]

GRI: McGill University, Montreal, Quebec, Canada
Completion of project in Biomechanical Engineering under the 84 days internship program with regular assessment.

Indian Institute of Technology Delhi

Teaching Assistant at IIT Delhi: Selected as a Teaching Assistant for Material Science on merit basis for a course of 400+ students. [2022]
Department Change at IIT Delhi: Secured department change among top 9% in a batch of 1000+ students. [2021]

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Joint Entrance Examination for Indian Institutes of Technology

Written the exam conducted by Indian Institute of Technology Roorkee [2019]

Joint Entrance Examination: Secured All India Rank 67 in JEE Main Paper II.
Joint Entrance Examination: Secured top 0.2 percentile in JEE Main and Advanced with 1M+ candidates.