Abhishek Prasad Prajapati

Python Developer
3+ Years Experience

Backend | APIs | AWS Cloud Solutions

SEE MY SKILLS

TECHNICAL SKILLS

Expertise built through hands-on experience and continuous learning.

Python Backend

Proficient in Python for backend development, building robust and scalable applications using frameworks like FastAPI and Flask.

AWS Cloud & DevOps

Experienced with core AWS services (Lambda, SQS, ECS, S3, DynamoDB, etc.), Docker containerization, and Kubernetes orchestration for deployment.

Databases

Skilled in designing and managing relational (PostgreSQL, MySQL, SQLite) and NoSQL (DynamoDB, MongoDB, Redis) databases.

APIs & Integrations

Expertise in designing and implementing RESTful APIs, asynchronous processing (Celery, SQS), JWT/OAuth authentication, and integrating third-party services.

Tools & Methodologies

Proficient with Git for version control, Elasticsearch for search, and familiar with Data Science libraries (Pandas, NumPy, Scikit-learn).

PORTFOLIO HIGHLIGHTS

Selected projects showcasing my backend development and integration skills.
Automated Report Generation & Email Notification System

Web-based application for predictive maintenance reports with automated email notifications.

Key Technologies:

PythonFastAPILangChainLangGraphAWS BedrockQdrantSQSLambdaECS FargateDockerPostgreSQLS3CognitoSES
RAG Chatbot Knowledge Assistant

Intelligent agent enabling staff to query manuals, policies, and parts databases with natural language.

Key Technologies:

PythonFastAPILangChainLangGraphGroq Llama3-70BQdrantPostgreSQLAWS Cognito
Predictive Maintenance Solution

Developed an ML model using historical data to predict equipment failures, optimizing maintenance schedules and reducing costs.

Key Technologies:

PythonPandasNumPyScikit-learnXGBoostMatplotlibSMOTE

ABOUT ME

My journey and passion for technology and problem-solving.
2012-2014
Foundation in Science and Mathematics

Completed higher secondary education with a strong foundation in science and math, sparking my interest in a technical career.

Foundation
Engineering
2015-2019
Mechanical Engineering Expertise

Earned a B.Engg (Hons) in Mechanical Engineering, honing analytical thinking, problem-solving, and technical skills through understanding complex systems.

2021-Present
Deep Dive into Data Science & Software Development

Pursuing a BS in Data Science from IIT Madras while gaining 3+ years of professional experience as a Python Developer, focusing on backend systems and cloud technologies.

Data Science
Future
Future
Building Scalable & Efficient Solutions

Eager to leverage my Python, backend, and cloud expertise to contribute to innovative projects, build robust applications, and tackle complex technical challenges.

RESUME

Detailed qualifications, experience, and education.
Download Resume (PDF)
Abhishek Prajapati Profile Picture

Abhishek Prasad Prajapati

Technical Skills
  • Languages: Python (Proficient)
  • Frameworks: FastAPI, Flask
  • Cloud (AWS): Lambda, API Gateway, SQS, EventBridge, ElastiCache (Redis), Cognito, ECS (Fargate), DynamoDB, Kendra, S3, SES, Step Functions, EC2, IAM
  • Containerization: Docker, Kubernetes
  • Databases: PostgreSQL, DynamoDB, MySQL, MongoDB, SQLite, Redis
  • Data/ML Libs: Pandas, NumPy, Scikit-learn, XGBoost, Matplotlib
  • LLM & RAG: LangChain, LangGraph, AWS Bedrock, HuggingFace, Qdrant DB
  • APIs & Web: RESTful APIs, JWT, OAuth2, Asyncio
  • Queues/Search: Celery, SQS, Redis, Elasticsearch
  • Tools: Git, SQLAlchemy, Heroku
Personal Interests
  • Backend Development
  • Cloud Architecture
  • Machine Learning Applications
  • Problem Solving & Optimization
  • Technology Exploration

Profile Summary

Python developer with 3+ years of experience designing APIs and AI-driven backend services on AWS. Skilled in FastAPI, Docker, and Kubernetes, with hands-on expertise using LangChain and LangGraph to build RAG pipelines. Proficient with PostgreSQL, Redis, and Cognito authentication. Dedicated to delivering scalable, user-centric solutions.

Work Experience

P2P SYSTEM PVT. LTD. | Python Developer
Faridabad, India | MARCH 2022 – PRESENT

Project: Automated Report Generation & Email Notification System

Created a web application that generates predictive maintenance reports and emails them automatically.

  • Built RESTful APIs with FastAPI for document upload, processing, and report generation.
  • Secured endpoints with AWS Cognito (JWT, RBAC).
  • Leveraged SQS, Lambda, and EventBridge for asynchronous tasks.
  • Cached frequent queries in Redis for faster responses.
  • Implemented a RAG pipeline via LangChain(LangGraph) with AWS Bedrock Llama3 and Titan embeddings; parsed docs using Landing AI and stored vectors in Qdrant.
  • Containerized microservices with Docker, deployed to ECS Fargate; utilized S3 and PostgreSQL.
  • Automated email alerts through SES and EventBridge (Impact: 50% reduction in manual effort).

Project: RAG Chatbot Knowledge Assistant

Implemented an AI agent enabling staff to query manuals and databases via natural language.

  • Designed secure RESTful APIs for document ingestion and real-time chat interactions.
  • Integrated AWS Cognito for JWT authentication and RBAC.
  • Built a RAG pipeline using LangChain (LangGraph) with Groq Llama3-70B and Qdrant vector store.
  • Employed MMR retrieval and an SQL agent for complex queries on PostgreSQL data.
  • Orchestrated multi-step reasoning workflows using LangGraph.
  • Impact: Delivered contextualized answers from diverse data sources.

Project: Predictive Maintenance for Equipment Failure

Developed an ML solution to optimize equipment maintenance schedules.

  • Performed data exploration & feature engineering using Python (Pandas, NumPy).
  • Handled imbalanced data using SMOTE.
  • Built and evaluated ML models (Random Forest, XGBoost) using Scikit-learn/XGBoost.
  • Used PR AUC for model evaluation.
  • Outcome: Demonstrated potential for 18% reduction in maintenance expenses.

Education

2021 – 2025 (Expected)
BS in Data Science and Applications
Indian Institute of Technology (IIT), Madras
CGPA: 7.93 / 10
2015 – 2019
Bachelor of Engineering (Hons) in Mechanical Engineering
Oriental College of Technology, Bhopal (RGPV)
Percentage: 75.1%
2014
Class XII (CBSE)
Kendriya Vidyalaya, MP
Percentage: 74.8%
2012
Class X (CBSE)
Kendriya Vidyalaya, MP
CGPA: 9.2 / 10

Awards and Achievements

  • Secured 'S' Grade (Highest) in Business Data Management (BDM) and Machine Learning Applications (MAD) projects at IIT Madras.
  • Awarded Gold Medal in International Mathematics Olympiad.
  • Selected for Zone level Science Exhibition participation.

Relevant Courses & Certificates

03/2022 – 08/2022
Full Stack Data Science & AI
Naresh IT (Hyderabad)

CONTACT ME

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