Vaishnav Mukund Mankar

〈Computer Engineering Student | PICT〉

Open to opportunities · Pune, India

Technical Languages

Languages

Python, Rust, Go, AI

Experience

Backend & Systems Engineer Intern

May 2026 – Present

Golain (Remote/Hybrid)

  • OCPP Rust Proxy Gateway: Engineered a high-performance EV proxy system in Rust for Enough Energy (UK) to connect physical charging stations with central software using the OCPP-J 1.6 protocol over WebSockets.
  • Low-Latency Messaging: Designed a low-latency communication system using ZeroMQ (ZMQ) and MQTT to route real-time telemetry, implementing a smart local cache using Sled DB to prevent telemetry loss during network drops.
  • AI-Agent Orchestration: Controlled AI coding workflows (using coding agents to generate boilerplate and test suites) to accelerate deployment speed while owning system design, database schemas, and integration testing.

Freelance Full-Stack Developer & Agent Operator

April 2026

Independent (Self-Employed)

  • Built a student performance analytics dashboard for investor presentations, integrating physical pen-tech hardware telemetry (CAN/Modbus sensors) with a preprocessed backend data pipeline using React, TypeScript, and Firebase.
  • Designed dynamic KPI charts, visualizations, and client-side AI summarizers to provide real-time strengths, weaknesses, and writing dynamics analysis.
  • Managed AI coding agents to rapidly scaffold UI components and routing, focusing manual cognitive effort on system schema, database design, and hardware-software data mapping.

AI Developer Intern

Aug 2025 – May 2026

Banao.tech (Remote)

  • Engineered backend infrastructure components for an AI-driven EdTech video generation pipeline, automating personalized multilingual video creation from images and textual summaries.
  • Deployed serverless workflows using AWS Lambda, implementing comprehensive cloud logging and telemetry metrics using Python and LangChain to optimize execution and debug latency.

Projects

FieldPulse (Industrial IoT Backend Platform)

Tech Stack: Go, gRPC, TimescaleDB, Redis, MQTT, OpenTelemetry (OTLP).

  • Developed a distributed industrial IoT telemetry ingestion backend in Go, utilizing gRPC microservices (Device, Telemetry, Alert) and TimescaleDB hypertables.
  • Optimized database storage by implementing TimescaleDB time-partitioning, automatic 7-day compression (~90% savings), and retention policies.
  • Integrated Redis for sensor telemetry deduplication and alert suppression, and instrumented all services with OpenTelemetry to trace across HTTP, gRPC, and MQTT boundaries.

PhotoStack AI (Intelligent Photo Gallery)

Tech Stack: React, FastAPI, PostgreSQL, Google Gemini, and Docker.

  • Engineered a private, local-first "Google Photos" alternative (PhotoStack AI) allowing natural language search queries on unstructured media.
  • Implemented AI-driven semantic image tagging and text-to-SQL search, optimizing query performance for instant image retrieval.

Education

Pune Institute of Computer Technology

2023–2027

B.E. Computer Engineering

CGPA: 9.2

Global Public School

2023

Class XII (HSC)

Score: 80%

Ryan International School

2021

Class X (SSC)

Score: 90%

Achievements

IEEE Publication

IEEE International Conference

  • Published “GNN-Based Friend Recommendation: A Graph Embedding Approach for Social Networks” in an IEEE International Conference.

Hobbies

I like working out, hiking, gaming, chasing after sunsets, and spending time with friends and family.

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