PRASHANT AMBATI

Software Engineer · Machine Learning · Systems Design

> SYSTEM.PROFILE_LOADED

Prashant Ambati - Software Engineer & ML Developer
Software Engineer with a strong foundation in backend systems, data workflow automation, and ML model deployment. Proficient in algorithms, distributed systems, and scalable engineering.
Passionate about delivering real-world impact through technology. Experience spans from developing CNN architectures achieving 95% accuracy to building distributed ETL pipelines processing 50GB+ of data.
Completed B.Tech in Computer Science and Engineering from Indian Institute of Information Technology, Agartala. Experienced in leadership roles and community building.
Location: Raipur, India
Email: prashantambati12@gmail.com
Phone: +91-7869487655

> CORE.TECHNOLOGIES_MATRIX

PROGRAMMING LANGUAGES

Python
C++
JavaScript
Go
SQL
Bash
C

WEB TECHNOLOGIES

FastAPI
Flask
RESTful APIs
Microservices

CLOUD & DEVOPS

AWS (EC2, S3, SageMaker)
Docker
Kubernetes
GitHub Actions
Terraform
CI/CD

DATA ENGINEERING

Apache Airflow
Spark
Hadoop
PostgreSQL
ETL
Data Warehousing

MACHINE LEARNING

PyTorch
TensorFlow
Computer Vision
NLP
Model Quantization
MLOps

TOOLS & SYSTEMS

Git
Linux
Distributed Systems
TCP/IP

> DEPLOYED.SYSTEMS_ARCHIVE

CropX

Custom neural network with multi-branch architecture optimized for crop prediction

A sophisticated deep learning crop recommendation system that provides personalized crop recommendations based on soil conditions and environmental factors.

AlexNet-CNN

Deep CNN achieving 95% accuracy on CIFAR-10

Integrated TensorRT for 40% latency reduction. Deployed via Docker and automated with GitHub Actions.

LLaVA for Visual QA

Fine-tuned vision-language models for image-based Q&A

Deployed on AWS SageMaker. Applied quantization and caching to optimize cost and enhance performance.

COVID Economic Dashboard

Processed over 10GB of economic data using Airflow, Spark, and PostgreSQL

Built ETL pipelines and live dashboards with Looker Studio to monitor COVID-19 economic trends.

Transcriptocast

Multilingual transcription system using Whisper models

Implemented Redis caching and asynchronous processing, improving latency by 70% under high load.

Adaptive Traffic Signal Control using RL

Reinforcement learning–based traffic signal system

Control agent learns to optimize signal timing through environment interaction. Dynamically adjusts signal phases.

Stunning Octo Barnacle

Production-grade abstractive summarization API

Inspired by research on transformer-based text compression models such as BART and PEGASUS.

GANs for Synthetic Medical Data

Generate synthetic medical data while preserving privacy

Focused on maintaining distributional fidelity and improving model training stability.

Federated Learning for Privacy-Preserving Image Classification

Federated training pipeline for distributed image classification

Implemented aggregation protocols ensuring privacy preservation and robust convergence across clients.

Real-Time Sign Language Translator

Real-time sign language translation system

Utilized MediaPipe, TensorFlow, and sequence modeling techniques with optimized low-latency inference.

Neuropulse

On-device AI-powered focus & energy tracker for iOS 18+

Leverages Apple's latest frameworks for privacy-preserving intelligence, adaptive UI, and real-time behavior analysis.

SwiftStock

Smart catalog & resale tool with image recognition

Helps users catalog, track, and resell physical items using smart image recognition and marketplace integration.

> PERFORMANCE.METRICS_LOG

>Developed and maintained distributed ETL pipelines, processing 50GB+ of data
>Engineered scalable APIs integrating ML models in production environments
>Reduced model inference cost by 40% using quantization and container optimizations
>Managed deployment and orchestration in Linux-based cloud environments
>Implemented parallelization and caching strategies, effectively doubling system throughput
$ system_performance --analyze
Processing throughput: +100%
Cost optimization: -40%
Data pipeline capacity: 50GB+
System latency: -70%
Analysis complete _

> ACADEMIC.PROTOCOL_HISTORY

EDU
Mar 2019 - May 2021

Class 12, CBSE Board

Ambuja Vidya Peeth, Higher Secondary
EDU
Dec 2021 - Jun 2025

B.Tech in Computer Science and Engineering

Indian Institute of Information Technology, Agartala
LEAD
Jun 2023 - Aug 2024

Vice President

PIXELS Photo-Graphics Club, NIT Agartala
$ click_nodes --expand_details

> NETWORK.INTERFACE_ACTIVE

$ connection_status --check
Location: Raipur, India
Availability: Open to opportunities
Response time: < 24 hours
system status: IDLE
$ initiate_connection --form
connection_established: _
Built with Next.js, GSAP, Framer Motion & Lenis • v2.0
© 2025 Prashant Ambati. All systems operational.
♿ Proudly created by a locomotor-disabled developer | Accessibility matters.