Rachit Kumar Singh

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 is on building software that holds up in the real world — REST APIs with proper testing and observability baked in, full-stack products, and systems designed to be maintained, not just demoed. I bring in automation and applied AI where it adds real value, from a computer-vision classifier trained on ~16,000 images to a retrieval-augmented document assistant.

I completed my internship at Accenture Solutions (Bengaluru), where I worked on Application Management Services (AMS) workflows using Specification Driven Development (SDD) — diagnosing recurring root causes, modeling L1–L3 escalation flows, and shipping a spec-driven prototype in an Agile team. I'm actively seeking Software Engineering / Development 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 raw idea to deployed product — model training, API development, frontend integration, and live deployment.

🧠

Engineering Rigor

I write production-grade code with testing and observability built in — REST APIs with rate limiting, automated test suites with 95%+ coverage, and Prometheus/Grafana monitoring from day one.

📈

High Velocity Learning

4 professional certifications, 300+ LeetCode problems, and 5 deployed projects — all built while carrying a full academic course 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 Intern · Accenture Solutions Private Limited MAY 2026 — JUL 2026 · ON-SITE · BENGALURU

Application Management Services (AMS) — Specification Driven Development (SpecAMS)

Established technical specifications as the single source of truth for requirements, code, and fixes, so any change could be traced back to why it happened; piloted this approach across 2 delivery tracks.
Designed the escalation path from first-line support to specialist L2/L3 teams, defining 13 evaluation criteria and 15 process rules across 4 teams to decide when a ticket should move up.
Built a tool that uses TF-IDF-based text similarity to compare a new support ticket against past resolved ones, surfacing the closest matching fix with a confidence score to speed up triage.
Engineered an LLM-based support chatbot with FastAPI that pulls answers from a knowledge base of resolved tickets, cutting down on manual ticket searches.
Collaborated in daily Agile ceremonies to design, architect, and ship the modular, spec-driven prototype with a cross-functional team.

FastAPISpecification Driven DevelopmentTF-IDFRoot-Cause AnalysisEscalation ModelingAgile

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 — JUL 2027

CGPA: 8.31 / 10

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

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

PythonJavaSQLFastAPIOOPDBMS

Vision International School

ICSE & ISC, Science

APR 2021 — APR 2023

ICSE (Class X): 89.8%ISC (Class XII): 84.4%

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.

Open Full View ↗ Download PDF ↓

Accenture — ASE Intern

Worked on Application Management Services (AMS) workflows with Specification Driven Development (SDD) at Accenture Solutions Pvt Ltd, Bengaluru — a TF-IDF ticket-similarity tool, an LLM-based support chatbot with FastAPI, and L1–L3 escalation flow modeling in an Agile team.

5 Deployed Projects

End-to-end projects spanning backend APIs, Computer Vision, NLP, and Full Stack — including a REST API with 97%+ test coverage and CI/CD, and a CNN trained on 16,000+ images.

B.Tech CSE — KIIT University

Computer Science Engineering coursework in Data Structures & Algorithms, Object-Oriented Programming, 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 with 300+ DSA and SQL 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.

APIWatch

Production-style REST API with automated testing, CI/CD, and live observability.

Built a REST API with FastAPI and SQLAlchemy, backed by a fully automated test suite and CI pipeline. The project is focused on the operational side of backend engineering — rate limiting, monitoring, and reliability — not just feature completeness.

Key Features

REST API with 5 Endpoints (FastAPI + SQLAlchemy)
Rate Limiting on Write Endpoints (slowapi)
21 Automated Tests — 97.35% Line Coverage
CI/CD via GitHub Actions
Prometheus & Grafana Monitoring
Sub-10ms P95 Response Time (200-request benchmark)

Tech Stack

PythonFastAPISQLAlchemySQLitepytestGitHub ActionsPrometheusGrafana

AI Resume Screening Assistant

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

Built an AI-powered resume screening platform that classifies resumes across job categories and matches them against job descriptions. Trained a 2-layer neural network on TF-IDF features extracted from 2,362 resumes spanning 21 job categories, served through a FastAPI backend and React frontend.

Key Features

Resume Parsing & Information Extraction
TF-IDF Feature Extraction + Neural Network Classification
67.4% Accuracy, 66.7% Macro F1 across 21 Categories
Job Description Matching
spaCy-Based Text Preprocessing Pipeline
FastAPI Backend + 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

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.

97.35% test coverage. Sub-10ms API response times. 67.4% model accuracy. 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.

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.

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