Rachit Kumar Singh — ML Engineer & Data Scientist

ABOUT

Engineer with a builder's mindset.

I care about the craft of software — the small details that separate a working prototype from something people can actually trust.

My focus sits at the intersection of machine learning and software engineering. I don't just train models — I deploy them as REST APIs, integrate them into full-stack systems, and measure them against real business outcomes. I've built a CNN freshness classifier trained on ~16,000 images, a multi-PDF RAG intelligence platform, and a full-stack AI automation suite — each one live and production-ready.

Currently interning at Accenture Solutions (Bengaluru) as an ASE Python Intern, contributing to enterprise automation, Agile delivery cycles, and code quality. I'm actively seeking ML Engineer, Data Scientist, Data Analytics, and Python Developer internship roles — on-site or remote.

B.Tech CSE · KIIT University · 2023–2027 · CGPA 8.31 · No Active Backlogs

WHY HIRE ME

What I bring to the table.

⚙

End-to-End Delivery

I take projects from raw idea to deployed product — model training, API development, frontend integration, and live deployment.

🧠

ML meets Engineering

I combine machine learning depth with software engineering discipline — production-grade code, clean APIs, and models that actually run in the real world.

📈

High Velocity Learning

3 IBM Professional Certificates, 250+ LeetCode problems, and 3 deployed AI projects — all built while maintaining a CGPA of 8.31 across a full academic load.

💡

Business-Aware Thinking

Every project I build is framed around a real problem: reducing manual inspection, eliminating document search time, automating repetitive workflows. Impact is always the metric.

EXPERIENCE

Where I've worked.

ASE Summer Intern — Python · Accenture Solutions Pvt Ltd MAY 2026 — PRESENT · ON-SITE · BENGALURU

Working on Agentic AI and Python-based automation solutions within an Agile development environment.
Contributing to the development, testing, debugging, and enhancement of AI-driven workflows and enterprise applications.
Collaborating with cross-functional teams to automate processes, improve efficiency, and deliver reliable software solutions.
Gaining hands-on experience in AI technologies, software development, and enterprise-scale problem solving.

PythonAutomationAgileDebuggingUnit TestingEnterprise

Student Volunteer · IEEE CTSoc KIIT Student Branch Chapter SEP 2025 — PRESENT · BHUBANESWAR, INDIA

Assisted in organizing technical workshops, seminars, and student engagement activities under the IEEE Communications Society chapter.
Coordinated with student teams and event organizers to support planning, execution, and participant management.
Contributed to initiatives promoting technical learning, networking, and professional development among students.
Developed teamwork, communication, leadership, and organizational skills through active volunteer involvement.

Event ManagementTeamworkLeadershipNetworkingOrganization

EDUCATION

Where I studied.

Kalinga Institute of Industrial Technology, Bhubaneswar

Bachelor of Technology (B.Tech), Computer Science Engineering

JUL 2023 — AUG 2027

CGPA: 8.31

Computer Science Engineering student with interests in AI, Machine Learning, NLP, Computer Vision, and Data Analytics. Built projects including AI Resume Screening Assistant (AWS-deployed), Fresh ScanX, and SupportGPT. Relevant coursework: Data Structures & Algorithms, DBMS, Operating Systems, Computer Networks, Machine Learning, and Artificial Intelligence.

Activities:IEEE CTSoc Student Branch Chapter | CIS Society | Basketball | Badminton | Chess

PythonSQLMachine LearningAINLPComputer Vision

Vision International School

ICSE & ISC, Science

APR 2021 — APR 2023

ICSE (Class X): 90%ISC (Class XII): 86%

Completed secondary and higher secondary education with a Science background, developing strong analytical, problem-solving, and quantitative skills.

Activities:Basketball | Volleyball | Chess

🏅 Achievement:Mathematics Olympiad — Gold medals 2014, 2015, 2016 (SOF IMO, School Level). Silver 2017, 2018. Five consecutive years.

RESUME

My Resume.

A snapshot of my qualifications, experience, and technical expertise.

Open Full View ↗ Download PDF ↓

Accenture — ASE Summer Intern

Currently building Agentic AI and Python-based automation solutions at Accenture Solutions Pvt Ltd, Bengaluru. Enterprise-grade engineering in an Agile team.

5 Deployed AI/ML Projects

End-to-end projects spanning Computer Vision, NLP, RAG pipelines, and Full Stack — including AWS-deployed systems with 16,000+ training images.

CGPA 8.31 — KIIT University

B.Tech Computer Science Engineering with relevant coursework in ML, AI, Data Structures, DBMS, Operating Systems, and Computer Networks.

3 IBM Professional Certificates

Certified in AI, Machine Learning, and Data Science through IBM's professional certification programs — validated and industry-recognized credentials.

250+ LeetCode Problems Solved

Strong problem-solving foundation with 250+ DSA problems solved across arrays, trees, graphs, dynamic programming, and system design patterns.

SELECTED WORK

Projects.

A selection of things I've built — across ML, GenAI, and full-stack systems.

AI Resume Screening Assistant

AI-powered recruitment platform for resume parsing, candidate classification, and intelligent JD matching.

Built an end-to-end AI Resume Screening Assistant that automates candidate evaluation and recruitment workflows. The platform extracts information from PDF/DOCX resumes, classifies candidates across job domains, performs job description matching using NLP techniques, and generates recruiter-focused insights. The application features a FastAPI backend, PostgreSQL database, React frontend, and AWS deployment.

Key Features

Resume Parsing & Information Extraction
Resume Classification using PyTorch
Skills Extraction & Candidate Profiling
Job Description Matching
Candidate Ranking & Scoring
Recruiter Dashboard & Analytics
AWS Deployment

Tech Stack

PythonPyTorchspaCyFastAPIPostgreSQLReactAWSNLP

Fresh ScanX

Deep learning-based fruit freshness detection system.

Developed a computer vision application that identifies fruit freshness through image classification. The system leverages deep learning models trained on thousands of fruit images and provides real-time predictions through a user-friendly web interface. Designed to support automated quality assessment and freshness verification.

Key Features

Fruit Freshness Detection
Image Classification
Real-Time Predictions
Deep Learning Inference Pipeline
Interactive Web Interface

Tech Stack

PythonTensorFlowCNNFastAPIReactComputer Vision

SupportGPT

Retrieval-Augmented Generation platform for intelligent document interaction.

Built a RAG-based application that enables users to query multiple documents using natural language. The platform combines document ingestion, vector search, semantic retrieval, and LLM-powered response generation to deliver context-aware answers from uploaded content.

Key Features

Multi-Document Querying
Vector Search
Semantic Retrieval
Context-Aware Responses
LLM Integration

Tech Stack

PythonFastAPIVector DatabaseRAGLLMsNLP

SugarSense

AI-powered diabetes risk assessment platform.

Developed a machine learning application that predicts diabetes risk based on health-related parameters. The system incorporates data preprocessing, feature engineering, predictive modeling, and an intuitive user interface to support health risk assessment.

Key Features

Diabetes Risk Prediction
Feature Engineering
Data Preprocessing
Predictive Analytics
Interactive Web Application

Tech Stack

PythonMachine LearningScikit-LearnReact

AI Business Automation Platform

Agentic AI platform for workflow automation and intelligent task execution.

Built an AI-powered automation platform focused on streamlining business processes through intelligent workflows. The platform integrates automation, decision-support mechanisms, and AI-driven task orchestration to improve operational efficiency.

Key Features

Agentic AI Workflows
Process Automation
Intelligent Task Execution
Workflow Orchestration
Business Process Optimization

Tech Stack

PythonAgentic AIAPIsAutomation Frameworks

TOOLBOX

Skills.

</>Languages

Python, SQL, Java, JavaScript

🧠AI & Machine Learning

Machine Learning, Deep Learning, CNN, NLP, Computer Vision, Feature Engineering, EDA, Model Evaluation, Cross-Validation, Data Cleaning, Statistical Analysis

🤖Generative AI

RAG Pipelines, Vector Databases, LLM Integration, Prompt Engineering, Agentic AI, Groq API

⚙Frameworks & Libraries

TensorFlow, PyTorch, Keras, Scikit-learn, spaCy, Pandas, NumPy, FastAPI, React

🗄Tools & Databases

Git, GitHub, VS Code, Postman, Excel, Vercel, PostgreSQL, MySQL

IN PROGRESS

🚀Currently Expanding

LangChain, LlamaIndex, Docker, AWS (Basics), System Design, MLOps

APPROACH

How I work.

01 — BUILD

Ship something real, then make it better.

I default toward working prototypes over perfect plans. Every project I've built is live — not a Jupyter notebook, not a zip file, not a slide deck.

02 — MEASURE

Impact is the only metric that matters.

92% accuracy. 100MB documents. 16,000 training images. I attach real numbers to everything I build because that's how engineering gets evaluated in the real world.

03 — LEARN

Consistent reps beat occasional sprints.

250+ LeetCode problems. 3 IBM certificates. 1 ongoing GenAI masters program. Learning is a daily habit, not a preparation phase.

BEYOND CODE

Outside the terminal.

I believe the best engineers are curious about everything — not just code.

🏀 Basketball — Led a self-assembled team to top 16 of 100+ teams at the XIM Open Tournament. Oct 2025.
🏅 Mathematics Olympiad — Gold medals 2014, 2015, 2016 (SOF IMO, School Level). Silver 2017, 2018. Five consecutive years.
🔬 IEEE Volunteer — Supported the 23rd OCIT International Conference at KIIT University. Author coordination, publication workflows. Dec 2025.
💻 Competitive Programming — 250+ LeetCode problems in Java. Arrays, trees, graphs, and dynamic programming. Ongoing daily practice.

BACKGROUND

Education.

🎓KIIT University

2023 — 2027

B.Tech in Computer Science & Engineering

CGPA: 8.31 / 10.0 · No Active Backlogs
Coursework: DSA · Statistics · DBMS · Operating Systems · OOP

🏫Vision International School

2011 — 2023

CISCE Board · Uttarpara Kotrung, West Bengal

Class XII: 84.4% (2023) — Science stream
Class X: 89.8% (2021)

RECOGNITION

Awards & honors.

🥇 Gold Medal × 3 — SOF International Mathematics Olympiad, School Level (2014, 2015, 2016)
🥈 Silver Medal × 2 — SOF IMO (2017, 2018)
💻 250+ LeetCode — Consistent DSA practice in Java. Active, ongoing.
🔬 IEEE CTSoc & CIS — Technical Volunteer, 23rd OCIT International Conference, KIIT. Dec 2025.
🏀 XIM Basketball — Top 16 of 100+ teams. Led self-assembled team. Oct 2025.

Machine Learning Engineer
building impact at scale.

Engineer with a builder's mindset.

What I bring to the table.

Where I've worked.

Where I studied.

My Resume.

Projects.

Currently learning.

Skills.

How I work.

Certifications.

Outside the terminal.

Education.

Awards & honors.

Find me here.

Get In Touch

Machine Learning Engineerbuilding impact at scale.

Engineer with a builder's mindset.

What I bring to the table.

Where I've worked.

Where I studied.

My Resume.

Projects.

Currently learning.

Skills.

How I work.

Certifications.

Outside the terminal.

Education.

Awards & honors.

Find me here.

Get In Touch

Machine Learning Engineer
building impact at scale.