OPEN TO INTERNSHIP & FULL-TIME ROLES · 2026

Rachit Kumar Singh

Building impact at scale.

Software Development Engineer|

I'm Rachit — a Software Development Engineer (SDE) and CSE student at KIIT University. I design scalable backend systems, secure REST APIs, and full-stack products, and take them from concept to production.

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LeetCode Solved

Test Coverage

Certifications

Internship

LeetCode Problems

Test Coverage

Automated Tests

Concurrent Users Load-Tested

Certifications

Internship Completed

ABOUT

Engineer with a builder's mindset.

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

I focus on building reliable backend systems and full-stack products: secure REST APIs, safe concurrent writes, automated test suites with high coverage, CI/CD pipelines, and production-style monitoring. I also apply machine learning where it adds real value, such as the scikit-learn pricing model in my recommendation engine.

During my internship at Accenture (Bengaluru), I was selected as one of 9 from 28 interns for a core project track and co-owned Specification Driven Development (SDD) in Application Management Services (AMS). I built an AI-powered RAG support chatbot with FastAPI, modeled L1–L3 escalation flows, and delivered a JIRA-based prototype in Agile sprints. I am looking for Software Engineering internship and full-time opportunities, on-site or remote.

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

WHY HIRE ME

What I bring to the table.

⚙

End-to-End Delivery

I take projects from idea to deployment — API design, database modeling, frontend integration, containerization, and CI/CD.

🧠

Engineering Rigor

I write production-grade code with quality built in — JWT auth, optimistic concurrency, 98.63% test coverage enforced in CI, and Prometheus/Grafana monitoring from day one.

📈

High Velocity Learning

4 professional certifications, 300+ LeetCode problems, and 6 projects — all built alongside a full academic course load.

💡

Business-Aware Thinking

I start every project from a real problem — replacing manual ticket triage, speeding up document search, making recommendations explainable — and measure success by impact.

EXPERIENCE

Where I've worked.

Associate Software Engineering Intern · Accenture MAY 2026 — JUL 2026 · ON-SITE · BENGALURU

Specification Driven Development (SDD) in Application Management Services (AMS)

Selected as 1 of 9 from 28 interns for a core project track; co-owned SDD in AMS with one teammate, end to end.
Built an AI-powered RAG support chatbot with FastAPI that replaced manual L1 ticket triage.
Diagnosed 3 recurring root causes in AMS ticket workflows (requirement ambiguity, documentation gaps, traceability issues) and designed automated root-cause analysis with confidence scoring over a resolved-ticket knowledge base.
Modeled L1-to-L2/L3 escalation (13 evaluation criteria, 15 process rules), automating hand-offs across 4 teams.
Authored Software Design Documents (SDDs) piloted across 2 delivery tracks, built a JIRA-based demo prototype, and triaged support tickets across priority levels within SLAs in Agile sprints.

FastAPIRAGSpecification Driven DevelopmentJIRARoot-Cause AnalysisAgile

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 Deemed to be University - Bhubaneshwar

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

JUL 2023 — MAY 2027

CGPA: 8.31 / 10

Pursuing a B.Tech in Computer Science and Engineering with a focus on backend systems and core software fundamentals. Relevant coursework: Data Structures & Algorithms, Object-Oriented Design, Database Management Systems, and Operating Systems.

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

PythonJavaTypeScriptSQLDSAOOD

Vision International School

ICSE & ISC, Science

APR 2021 — APR 2023

ICSE (Class X): 89.8%ISC (Class XII): 86%

Completed secondary and higher secondary education in the Science stream.

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.

Last updated: 24 September 2026

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Accenture — Associate Software Engineering Intern

Selected as 1 of 9 from 28 interns for a core project track. Built an AI-powered RAG support chatbot with FastAPI, designed L1–L3 escalation logic, and authored Software Design Documents piloted across 2 delivery tracks.

6 Projects

Backend and full-stack projects, including APIWatch (JWT auth, optimistic concurrency, 98.63% coverage, CI-gated) and a Smart Policy Recommendation Engine (React, TypeScript, FastAPI, Docker Compose).

B.Tech CSE — KIIT University

Coursework in Data Structures & Algorithms, Object-Oriented Design, DBMS, and Operating Systems.

4 Professional Certifications

Accenture Internship Certificate & Badge, SAP Certified – SAP Fiori Application Developer, Cisco AICTE Cybersecurity Virtual Internship, and DSA with Java (Apna College).

300+ LeetCode Problems Solved

Strong problem-solving foundation: 300+ DSA and SQL problems (60+ Medium, 20+ Hard) across arrays, trees, graphs, and dynamic programming.

SELECTED WORK

Projects.

A selection of what I've built — backend systems, full-stack applications, and applied ML.

APIWatch

Secure, observable REST API with concurrency control and CI-enforced quality.

A production-style backend built to go beyond CRUD: authentication, per-user data isolation, safe concurrent writes, automated quality gates, and live monitoring.

Key Features

JWT authentication with bcrypt-hashed passwords and per-user data isolation
Optimistic concurrency control — stale writes return 409 Conflict
Retry-safe writes through Idempotency-Key handling
49 automated tests at 98.63% coverage; CI blocks merges on lint (ruff/black) and a coverage threshold
Prometheus metrics and a Grafana dashboard (latency, throughput, error rate) under concurrent load
/health/live and /health/ready probes; runs on SQLite and PostgreSQL 16 with zero code changes

Tech Stack

PythonFastAPISQLAlchemyPostgreSQLSQLitepytestGitHub ActionsPrometheusGrafana

Smart Policy Recommendation Engine

Explainable full-stack recommendation engine combining rules and ML pricing.

A multi-tiered application with a React + TypeScript frontend and an async FastAPI + SQLAlchemy backend that ranks policies through a hard-eligibility filter, rule-based scoring, and an ML pricing signal.

Key Features

Explainable ranking: eligibility filter, rule-based scoring, and ML pricing
scikit-learn Gradient Boosting Regressor on 1,338 rows (R² 0.87 on a held-out set), blended with the rules engine as a transparent signal
45 automated tests, 95%+ coverage (pytest, Vitest, React Testing Library) with CI coverage gates
Dependency vulnerability scanning and Docker builds in CI
4 services containerized with Docker Compose; load-tested with Locust at 50 concurrent users

Tech Stack

ReactTypeScriptFastAPISQLAlchemyAlembicscikit-learnDockerGitHub ActionspytestVitest

AI Resume Screening Assistant

ML-powered resume classification and job-description matching, served through FastAPI and React.

Built an end-to-end resume screening application. A spaCy and TF-IDF preprocessing pipeline feeds a 2-layer PyTorch neural network trained on 2,362 resumes across 21 job categories, and predictions are served through a FastAPI backend and a React frontend.

Key Features

Resume parsing and text cleaning with spaCy
TF-IDF feature extraction with a 2-layer neural network classifier
67.4% accuracy and 66.7% macro F1 on 472 held-out resumes across 21 categories
Job-description matching against candidate resumes
REST API (FastAPI) with a React frontend

Tech Stack

PythonPyTorchspaCyTF-IDFscikit-learnFastAPIReact

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

IN PROGRESS

Currently learning.

System Design — HLD & LLD

Distributed Systems & Scalability

Concurrency & Multithreading

DSA in Java — LeetCode (ongoing)

Design Patterns & Clean Architecture

Docker, AWS EC2 & Cloud Deployment

Advanced SQL & Query Optimization

CI/CD, Testing & Observability

Applied AI — RAG & LLM Integration

Learning is a continuous discipline, not a phase.

TOOLBOX

Skills.

</>Languages

Python, Java, JavaScript, TypeScript, SQL

📐CS Fundamentals

Data Structures & Algorithms, Object-Oriented Design, Complexity Analysis

🖥Systems

Operating Systems, Distributed Systems, Scalability, Fault Tolerance, Concurrency

🗄Backend & Databases

FastAPI, REST APIs, JWT, SQLAlchemy, Alembic, PostgreSQL, SQLite

🧪Testing & Security

pytest, Vitest, React Testing Library, Locust (Load Testing), Dependency Vulnerability Scanning

☁Cloud & DevOps

AWS EC2, Docker, Docker Compose, GitHub Actions CI/CD, Git, JIRA, Prometheus, Grafana

⚛Frontend & Applied ML

React, TypeScript, scikit-learn, PyTorch, spaCy

🤝Soft Skills

Ownership, Problem Solving, Written & Verbal Communication, Root-Cause Analysis, Agile Collaboration

IN PROGRESS

🚀Currently Expanding

System Design, Design Patterns, Advanced SQL, AWS Deep-Dive

APPROACH

How I work.

01 — BUILD

Ship something real, then make it better.

I default toward working software over perfect plans. Every project I've built is runnable and documented on GitHub — not a notebook, not a zip file, not a slide deck.

02 — MEASURE

Impact is the only metric that matters.

98.63% coverage across 49 tests. A recommendation engine load-tested at 50 concurrent users. An R² of 0.87 on a held-out set. I attach real numbers to everything I build because that is how engineering is judged in production.

03 — LEARN

Consistent reps beat occasional sprints.

300+ LeetCode problems. 4 professional certifications. 1 internship at Accenture, working on AMS with Specification Driven Development. 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 — 300+ LeetCode problems in Java and SQL. Arrays, trees, graphs, and dynamic programming. Ongoing daily practice.

RECOGNITION

Awards & honors.

🏆 Top 5 Intern at Accenture — Selected to present before a visiting Japanese delegation at a conference on Agentic AI; awarded a Letter of Appreciation.
🥇 Gold Medal × 3 — SOF International Mathematics Olympiad, School Level (2014, 2015, 2016)
🥈 Silver Medal × 2 — SOF IMO (2017, 2018)
💻 300+ LeetCode — 60+ Medium, 20+ Hard. Consistent DSA and SQL practice in Java.
🔬 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.

LET'S TALK

Get In Touch

Have a question, opportunity, collaboration idea, feedback, or simply want to connect? Feel free to send a message.

Email rachitkumar2105@gmail.com

LinkedIn linkedin.com/in/rachit-kumar-singh-79429827b

GitHub github.com/rachitkumar2105

Location 📍 Odisha, India

Rachit Kumar Singh

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.

Awards & honors.

Find me here.

Get In Touch