AVAILABLE FOR NEW OPPORTUNITIES

Software
Engineer.Python Backend • Data Engineering • Automation

I build reliable backend systems and data pipelines that turn complex data workflows into scalable, maintainable software.

# software_engineer.py
class Engineer:
  focus = [
    "Python Backend",
    "Data Pipelines",
    "Automation"
  ]

  def build(problem):
      solution = design(problem)
      return ship(solution)

# reliable • scalable • measurable
~25%Data accuracy improvement
~40%Failure reduction
~18%Processing time reduction
30 FPSComputer vision project
01 / About

Engineering with purpose.

PROFILE

Python-focused Software Engineer

Focused on backend engineering, data processing, automation and building dependable software for real-world workflows.

PythonPandasNumPyFlaskSQLREST APIsData Engineering

I enjoy taking messy, high-volume data workflows and turning them into clean, testable and maintainable systems.

My recent work includes telecom data pipelines processing XML, CSV and Excel inputs, automated validation workflows, structured logging, exception handling and performance optimization.

I also build practical projects across AI, computer vision, analytics and backend development.

02 / Experience

Where I've worked.

Software Engineer

@ Movate
Sep 2025 — Present
  • Developed and optimized Python-based backend data pipelines for processing XML, CSV, and Excel inputs in a large-scale telecom project, enabling reliable KPI processing across multiple reporting workflows.
  • Automated data validation and processing workflows using Python, NumPy, and Pandas, improving data accuracy by ~25% and reducing manual rework.
  • Implemented structured logging and exception handling to debug runtime issues, reducing failures by ~40% and improving system reliability.
  • Optimized backend processing workflows and data pipelines, reducing end-to-end processing time by ~18% and improving system efficiency.
  • Collaborated with cross-functional teams to deliver and maintain reliable backend solutions, improving feature delivery and code reliability.
PythonNumPyPandasFlaskSQLData Processing

Data Science Intern

@ Bharat Intern
Nov 2023 — Dec 2023
  • Built ML models for text/image classification with 15% improvement in accuracy.
  • Conducted EDA and feature engineering on datasets of 10K+ records.
  • Optimized preprocessing scripts reducing execution time by 18%.
MLPandasNumPyEDA
03 / Selected Work

Things I've built.

01 / AI

AskMe PDF AI Architect

Challenge

Manual retrieval of information from dense 500+ page documents was inefficient and time-consuming.

Solution

Engineered a private RAG pipeline using Flask & LangChain with vector embeddings for semantic search.

↗ Accelerated information retrieval by ~60%.

02 / Analytics

Sales Intelligence System

Challenge

Stakeholders lacked real-time visibility into high-volume sales trends due to legacy reporting tools.

Solution

Built DAX-based Power BI models and automated Power Query pipelines for live visualization.

↗ Reduced manual reporting overhead by 20%.

03 / Vision

Real-time Vision Track

Challenge

Low-latency face tracking was required for security monitoring without heavy GPU dependency.

Solution

Optimized OpenCV Haar Cascades for real-time CPU-based detection and tracking.

↗ Achieved consistent 30 FPS on standard hardware.

04 / Toolkit

My technical stack.

Backend

Python · Flask · REST APIs · Exception Handling · Logging

Data

Pandas · NumPy · XML · CSV · Excel · Data Validation · ETL

Database

SQL · MySQL · PostgreSQL · Querying · Data Modeling

Tools & Practices

Git · GitHub · Debugging · Automation · Performance Optimization

05 / Contact

Let's build something useful.

OPEN TO OPPORTUNITIES

Have a backend or data problem?

I'm interested in software engineering opportunities where I can build reliable Python systems, automate workflows and solve meaningful engineering problems.

QUICK NOTE

Simple. Reliable. Measurable.

Every project should make something faster, clearer, safer or easier to maintain.

Email Me →