Hello, I'm

Sakhinala Sanjay Bhargav

AI/ML Engineer

Building AI Systems That Scale

AI/ML Engineer specializing in Reinforcement Learning and production ML systems. Reduced electromagnetic simulation costs by 65% through novel RL-surrogate model architecture. Published researcher in 6G antenna optimization with hands-on expertise in NLP, computer vision, and end-to-end model deployment.

Sakhinala Sanjay Bhargav

About Me

AI/ML Engineer specializing in transforming advanced research into scalable, production-ready systems. I engineered a reinforcement learning framework that delivered a 65% reduction in EM simulation cost by optimizing antenna design with uncertainty-aware SAC agents and hybrid surrogate models.

My experience spans multilingual NLP pipelines, computer vision systems, large-scale RAG architectures, and secure communication platforms. I combine deep learning expertise with strong MLOps capabilities—deploying models using FastAPI, Docker, Vertex AI, and optimized GPU workflows.

Based in Pithapuram, Andhra Pradesh, India, I focus on building AI solutions that are measurable, reliable, and impactful. My published research and applied engineering work reflect a commitment to creating real-world AI systems that solve complex technical and business challenges.

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Cost Reduction

in EM simulations via RL surrogates

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Indian Languages

supported by IndicRAG QA System

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Model Accuracy

on EuroSAT Land Use classification

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Key Projects

including RL, RAG, and CNN systems

Technical Skills

AI & Machine Learning

Deep Learning Computer Vision Reinforcement Learning SAC & PPO Transformers RAG Multilingual NLP Prompt Engineering

ML Frameworks

PyTorch TensorFlow Scikit-Learn Stable-Baselines3 HuggingFace TorchVision OpenCV

MLOps & Deployment

Docker FastAPI Model Serving CI/CD Pipelines Vertex AI REST APIs On-Prem Deployment GPU Optimization

Data Engineering & Analytics

Pandas NumPy SQL BigQuery Data Wrangling Feature Engineering Matplotlib Seaborn Tableau Power BI

Security & Systems

Python Linux CLI Cryptography RSA & AES Networking TCP/IP DNS Shell Scripting

Key Projects

Uncertainty-Aware RL System for EM Structure Optimization

Private Repository

Challenge: Electromagnetic simulations for 6G antenna design required 500+ CST API calls per design iteration, each taking 15-20 minutes—making optimization prohibitively expensive and time-consuming for production environments.

  • Designed hybrid SAC + LightGBM surrogate model architecture with uncertainty quantification
  • Implemented custom Gymnasium environment with fabrication-feasible reward shaping
  • Developed multi-fidelity training pipeline reducing simulation dependency by 65%

Outcome: Achieved 65% reduction in simulation costs, 40% fewer episodes to convergence, and uncertainty-aware predictions enabling safe real-world deployment. Research published in IEEE proceedings.

65% Cost Reduction
PyTorch CUDA Stable-Baselines3 LightGBM Optuna CST API

IndicRAG — Multilingual Indic Document QA System

Challenge: Most RAG systems only support English, leaving 1.3 billion Indic language speakers without accessible document QA tools. Existing multilingual solutions lacked production-grade OCR and semantic chunking for complex documents.

  • Integrated multilingual dense embeddings with cross-encoder reranking for 12+ Indian languages
  • Implemented OCR pipeline (PyTesseract) for scanned PDF processing
  • Deployed production FastAPI service with semantic chunking for long-context documents

Outcome: Production-ready RAG pipeline supporting 12+ Indian languages with accurate document retrieval and context-aware answers, enabling multilingual accessibility for enterprise knowledge bases.

12+ Languages
HuggingFace Transformers LangChain PyTesseract FastAPI RAG

CipherChat — Secure End-to-End Encrypted Messenger

Challenge: Traditional messaging apps store messages on centralized servers, creating privacy vulnerabilities. Need for truly secure peer-to-peer communication with enterprise-grade encryption without server intermediaries storing plaintext.

  • Engineered hybrid AES-256 + RSA-2048 cryptographic system for maximum security
  • Implemented zero-knowledge architecture with client-side encryption and secure key exchange
  • Built multi-threaded TCP socket server with SHA-256 integrity verification for real-time messaging

Outcome: CLI-based messenger with enterprise-grade end-to-end encryption, zero server knowledge of message content, and multi-user support—ensuring complete privacy for sensitive communications.

Zero-Knowledge
Python Cryptography TCP/IP Multi-threading

EuroSAT Land Use Classification

Challenge: Satellite imagery classification for land-use monitoring required interpretable models beyond black-box accuracy. Urban planners and environmental agencies needed transparent decision-making for policy guidance.

  • Developed CNN architecture trained on EuroSAT dataset (10 land-use classes)
  • Integrated Grad-CAM explainability layer for visual feature attribution
  • Implemented model interpretability pipeline for transparent predictions

Outcome: Achieved 89% test accuracy across 10 land-use categories with explainable AI visualizations showing which image regions influenced predictions, enabling trustworthy deployment for environmental monitoring.

89% Accuracy
PyTorch TorchVision OpenCV Grad-CAM

ResolverLab

Challenge: Network administrators lacked comprehensive tools to benchmark DNS resolver performance globally. Existing solutions didn't provide statistical rigor or actionable insights for infrastructure decisions.

  • Built automated benchmarking framework testing latency across global DNS resolvers
  • Implemented statistical analysis pipeline with percentile metrics and reliability scoring
  • Developed CLI tool with automated reporting and network troubleshooting diagnostics

Outcome: Production-grade DNS performance analysis framework enabling network teams to make data-driven resolver selections, troubleshoot outages, and optimize query latency for enterprise infrastructure.

Network Analysis
Python Network Programming Data Visualization Statistical Analysis CLI

Industry Training & Externships

Generative AI Training

SkillHive Connect

Aug 2025 – Dec 2025
  • Developed a strong foundation in Generative AI, Machine Learning, Deep Learning, and NLP using Python
  • Worked with Large Language Models (LLMs), Transformer architectures, LangChain, and Retrieval-Augmented Generation (RAG)
  • Performed fine-tuning of LLMs including hands-on exposure to LLaMA models
  • Built real-world GenAI mini-projects such as AI chatbots, semantic search engines, YouTube transcript summarization, and a voice-based medical assistant

AI/ML Training

Google

Jan 2025 – Mar 2025
  • Developed computer vision modules using Python and OpenCV to automate image detection tasks for mobile applications
  • Evaluated model performance and deployed ML pipelines using Google Vertex AI and Model Deployment APIs
  • Integrated ML features into end-to-end app workflows, enabling real-time inference and improved automation efficiency

Cybersecurity Training

Palo Alto Networks

Oct 2024 – Dec 2024
  • Implemented firewall policy optimization to strengthen network access control and reduce alert false positives
  • Analyzed threat logs and worked with SIEM workflows to identify anomalies using intelligent log-correlation systems
  • Gained working knowledge of secure network design, intrusion detection fundamentals, and endpoint protection frameworks

Data Science Applied Training

Altair RapidMiner

Apr 2024 – Jun 2024
  • Built no-code ML pipelines in RapidMiner for data preprocessing, feature engineering, and model evaluation
  • Applied supervised learning algorithms such as SVM and Random Forest for classification and performance benchmarking
  • Performed exploratory data analysis (EDA) and interpreted results to derive actionable insights

Education

🎓

B.Tech in Electronics and Communication Engineering

Bapatla Engineering College, Andhra Pradesh

May 2025
📚

Diploma in Electronics and Communication Engineering

Aditya College of Engineering, Surampalem, AP

Oct 2021
📖

Secondary School Certificate (SSC)

Ravindra Bharathi High School, Pithapuram, AP

Apr 2018

Certifications

✓

Google Data Analytics Professional Certificate

SQL • R Programming • Data Cleaning • Tableau • Business Communication

March 2025
✓

Google Cybersecurity Professional Certificate

Network Security • Python • Linux • Cloud Security • Network Architecture

May 2024
✓

Google Prompting Essentials

Prompt Engineering for GenAI Workflows

May 2025
✓

AI For Everyone — DeepLearning.AI

AI Strategy • ML Fundamentals • Business Use-Cases

February 2025
✓

Google Skill Badges (10+)

TensorFlow • Image Classification • Object Detection • Product Search

2024-2025
✓

NPTEL: Cloud Computing

Engineering Architecture • Virtualization Concepts

2024
✓

NPTEL: Computer Networks & Internet Protocols

TCP/IP • Routing • DNS • Network Performance

2024

Publications & Patents

Patent

🔬

Design of Hexagonal Patch Antenna at 28 GHz

Inventor: Sakhinala Sanjay Bhargav

Application No.: 202541014595 A | Published: March 7, 2025 (India)

Publications

📄

Bandwidth Enhancement of Slotted Hexagonal Patch Antenna for 6G Ultra-Fast Data Transfer and Brain-Computer Interface

Presented at ICMOCE 2025, IIT Bhubaneswar

📄

Bandwidth Optimization of Slotted Circular Patch Antenna for 6G Ultra-Fast Data Transfer and Brain-Computer Interface Application

Presented at 16th ICCCNT 2025, IIT Indore

📄

Uncertainty-Aware Reinforcement Learning System with Blended Surrogate Models for Electromagnetic Structure Optimization

Blog

February 3, 2026

ResolverLab: High-Performance DNS Benchmarking Tool

A production-grade Python analytics suite for benchmarking DNS services across 50+ providers, measuring block rates, latency, and cache performance with comprehensive reporting.

Read More →
January 28, 2026

Reinforcement Learning for Antenna Design: A Deep Dive

Exploring how uncertainty-aware RL agents can optimize electromagnetic structures, reducing simulation costs by 65% through hybrid surrogate modeling approaches.

Read More →
December 8, 2025

Building Multilingual NLP Systems with RAG

A practical guide to implementing production-ready retrieval-augmented generation pipelines for Indian languages with semantic chunking and cross-encoder reranking.

Read More →
November 22, 2025

End-to-End Encryption in Python: Building Secure Messaging Systems

Learn how to implement hybrid AES-256 and RSA-2048 cryptography with secure key exchange protocols for zero-knowledge architecture messaging.

Read More →

Get In Touch

I'm always interested in hearing about new opportunities, collaborations, or just having a conversation about AI/ML. Feel free to reach out!

Pithapuram, Andhra Pradesh, India