AI / ML Engineer & Researcher

Vasishta Vardhan Reddy.

Building Intelligent Systems

CSE (AI & ML) undergrad at MIT Manipal. Published IEEE researcher. I build ML systems, data pipelines, and robotics solutions that cross from research to production.

drag · rotate · scroll to zoom
PyTorchTensorFlow IEEE PublishedFastAPI Computer VisionRobot Navigation Data Pipelinesscikit-learn OpenCVNLPDocker Cybersecurity PyTorchTensorFlow IEEE PublishedFastAPI Computer VisionRobot Navigation Data Pipelinesscikit-learn OpenCVNLPDocker Cybersecurity
01 — About

Who I am

I'm Nandipati Vasishta Vardhan Reddy, an AI/ML engineering student at Manipal Institute of Technology, Manipal. I'm passionate about building systems that are intelligent and production-ready.

My work spans ML systems engineering, data pipelines, robotics navigation, and cybersecurity-oriented automation. Currently a Data Analyst at Mangomelon AI LLC, designing AI-driven workflows for healthcare data research, and a founding member of Velosta Technologies LLP building a B2B SaaS platform for rental shop operators.

I've published in IEEE, interned at Algonomy (Bangalore) and Digi edZe Soft Solutions (Hyderabad), and built production Python tools with real-world utility. I cross the gap between research-level thinking and deployment-ready code.

PyTorchTensorFlowKerasscikit-learnOpenCV
PythonFastAPIDockerREST APIsSQLLinux
PandasNumPyTableauGit
NmapWiresharkOWASPIDS/IPS
1
IEEE Publication
3+
Projects Shipped
2
Google Certs
2027
Graduating
02 — Experience

Where I've worked

May 2026
Jul 2026

Hyderabad, IN
Software Engineering Intern
Digi edZe Soft Solutions
  • Part of the team at Chat4ED, an agentic conversational BI platform built on a proprietary five-agent anti-hallucination pipeline with sovereign on-premise deployment.
  • Built the end-to-end outbound infrastructure and GTM content library, drove a 300+ prospect pipeline across verticals, and worked toward closing paid enterprise PoC agreements.
Jan 2026
Present

Remote
Data Analyst
Mangomelon AI LLC
  • Designed AI-driven analytical workflows automating data cleaning, feature extraction, statistical evaluation, and pattern discovery, improving speed and reliability of research analysis.
  • Built reproducible pipelines for ingesting, validating, transforming, and visualizing large structured healthcare datasets, ensuring consistency across exploratory and modeling tasks.
Oct 2025
Present

Hyderabad, IN
Founding Member, Product
Velosta Technologies LLP
  • Co-founded Velosta Vendor, a B2B SaaS platform for bike and car rental shop operators in India, covering Aadhaar and DigiLocker KYC, WhatsApp automation, GST billing, and multi-branch management.
May 2025
Jul 2025

Bangalore, IN
Software Engineering Intern
Algonomy
  • Implemented optimized logic for the Production Suffix module, improving deployment-pipeline assembly processes.
  • Built dataset ingestion tools, GUI components with Tkinter / CustomTkinter, and Python REST interfaces supporting internal engineering workflows.
03 — Research

IEEE Publication

Peer Reviewed — IEEE
Enhanced A* Path Planning with Potential Fields
for Terrain-Aware Robot Navigation

Introduces an intelligent robot navigation method combining A* search with potential field optimization, informed by real-time depth image data. Unlike standard A* — which only minimizes path length — this approach incorporates slope analysis and dynamic obstacle avoidance, producing routes that are both geometrically short and physically safe for complex terrain deployment.

View on IEEE →
RoboticsPath PlanningA* Algorithm Potential FieldsDepth ImagingTerrain Nav
04 — Projects

Things I've built

01
DataForge

Automated dataset discovery via Kaggle API and LLM-based synthetic data generation. Secure API-key access controls and structured dataset management for repeatable ML workflow automation.

PythonCustomTkinterREST APIsLLM
View on GitHub →
02
leakscan

Published CLI tool for detecting leaked secrets and API keys in local codebases and public GitHub repos, including git history. Implements 55+ regex patterns, Shannon entropy detection, live secret verification across 10 services, SARIF output, and pre-commit hook support for CI/CD-native secret hygiene. Reached 3,250+ PyPI downloads.

PythonClickRegexEntropyGitHub API
03
Vendor Due Diligence

Enterprise vendor screening combining web search aggregation, NLP risk detection, and automated PDF evidence archiving. Generates compliance-ready reports for procurement workflows.

PythonSERP APINLPPDF
View on GitHub →
05 — Education & Certifications

Academic background

B.Tech — CSE (AI & ML)
Manipal Institute of Technology, Manipal
Machine Learning · Deep Learning · Operating Systems · Computer Networks · Data Structures
Jul 2023 — May 2027
Manipal, India
Google Advanced Data Analytics
Google · 2026
SEBI Investor Certification Exam
NISM · 2025
Google Cybersecurity Specialization
Google · 2024
Databricks Certification
Databricks · In Progress
06 — Contact
Let's build something smart together.

Open to ML engineering roles, research collaborations, and interesting projects. Reach out — I reply fast.

Download Resume

Full overview of experience, skills, and education in one place.

View Resume