AVAILABLE FOR FULL-STACK ROLES

PUNE, MAHARASHTRA, INDIA

SHRIHARI PADATARE

Full Stack Developer

Computer Science graduate and CDAC PGCP-AC trainee developing reliable, database-driven web applications across frontend, backend, and database layers.

Java SQL Web Technologies

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Architecture Breakdown

From pixel to database.

01. INTERFACE & CLIENT 02. REST & MICROSERVICES 03. BUSINESS LOGIC & RUNTIME 04. PERSISTENCE & SCHEMAS

Client Layer

Responsive UI & Interactive Web Systems

Constructing performant, accessible web interfaces utilizing standard web fundamentals and modern responsive component frameworks.

Web Foundations

Semantic HTML5, responsive CSS3 architectures, DOM manipulation, modern ES6+ JavaScript, Bootstrap component grids.

HTML5 CSS3 JavaScript Bootstrap

Component Architecture

Accessible design patterns, modular style systems, interactive client-side routing, and real-time state visualization.

SPA DOM APIs Responsive Design

Integration Layer

REST Contracts & Data Exchange

Designing clean REST endpoints, handling payload serialization, request routing, authentication tokens, and asynchronous communication.

API Architecture

RESTful patterns, JSON serialization, status code conventions, endpoint security, and rate-handling principles.

Inspection & Verification

Testing API contracts, headers, payloads, and automated request collections using Postman and cURL.

Service Logic

Robust Backend Engineering & OOP

Developing server-side application logic with Java, object-oriented software engineering principles, and Express.js runtime services.

Java Fundamentals & OOP

Core Java, multi-threading basics, collections framework, inheritance, polymorphism, encapsulation, and clean software abstractions.

Web-Based Java & Runtimes

Servlets, MVC paradigms, Express.js server foundations, and microservice connectivity.

Persistence Layer

Relational Schemas & Query Optimization

Managing relational datasets, writing multi-table joins, subqueries, indexing strategies, transactions, and stored procedures.

Relational DBMS

MySQL, PostgreSQL, normalization (1NF–3NF), primary/foreign keys, referential integrity, and ACID guarantees.

Programmable SQL

Complex joins, aggregate analytics, stored procedures, functions, triggers, and transactional management.

Operations & Delivery

Continuous Integration & Deployment

Streamlining code deployment workflows, version control branching strategies, and reliable environment configuration.

Version Control

Git branching workflows, code reviews, pull requests, commit tagging, and GitHub repository automation.

Developer Toolchain

VS Code, IntelliJ IDEA enterprise debugging, command-line automation, and environment configuration.

Intelligence & Agents

Generative AI & LLM Systems

Orchestrating large language models, prompt engineering workflows, few-shot contextual pipelines, and intelligent conversational agents.

LLM Orchestration & Prompting

Architecting multi-turn conversational flows with LangChain and Transformers, structured prompt engineering, few-shot contextual learning, and output refinement.

LangChain Transformers Prompt Engineering Few-Shot Prompting

Conversational Systems & Tuning

Building contextual chatbot architectures, implementing LLM response monitoring pipelines, fine-tuning retrieval logic, and mitigating hallucination risks.

Python Conversational AI Response Monitoring Agent Workflows

Selected Works

Project Case Files

Applied technical problem solving in predictive machine learning, conversational AI agents, and enterprise full-stack development.

CASE // 01

Employee Attrition Prediction

Problem:

Identifying employee turnover dynamics and building predictive models to assist organizational retention planning.

Stack:

Python Logistic Regression Random Forest XGBoost

What I Built:

Engineered data preparation pipelines, addressed severe class imbalance, and trained multiple classification models.

Result:

Delivered model evaluation metrics comparing precision and recall across algorithms for actionable turnover forecasting.

View Source

CASE // 02

Transformer & LangChain AI

Problem:

Designing contextual dialogue flows and mitigating hallucination in automated user conversational interfaces.

Stack:

Python LangChain Transformers Few-Shot Prompting

What I Built:

Implemented few-shot prompting pipelines, chained contextual prompts, and configured transformer model orchestration.

Result:

Integrated automated interaction monitoring to inspect token responses and iteratively enhance dialogue quality.

View Source

CASE // 03

Full-Stack Database Application

Problem:

Building unified database-backed services connecting responsive client interfaces to relational data tables.

Stack:

Java MySQL HTML5/CSS3 Express.js

What I Built:

Architected relational database tables, written parameterized queries with stored procedures, and created responsive input screens.

Result:

Established resilient transactional data flows with schema normalization and fast query response times.

View Source

Developer Environment

Tooling & Technical Capabilities

Command-line toolchains, programming languages, database systems, and runtime environments grouped by tier.

shrihari@terminal: ~/skills

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[FRONTEND]: HTML5, CSS3, JavaScript (ES6+), Bootstrap, Responsive UI

[BACKEND]: Java, OOP Fundamentals, RESTful APIs, Express.js (Project Exposure)

[DATABASE]: MySQL, PostgreSQL, Relational DB Design, SQL Queries, Joins, Stored Procedures

[GENAI & LLMS]: Python, LangChain, Transformers, Prompt Engineering, Few-Shot Prompting, Chatbots

[DEV TOOLS]: Git, GitHub, VS Code, IntelliJ IDEA, Postman, Linux Terminal

[CORE CS]: Data Structures & Algorithms, DBMS, Operating Systems, SDLC

[EDUCATION]: CDAC KNOW-IT (PGCP-AC) • D.Y. Patil Int. Univ (B.Tech CSE)

Direct Communication

Get In Touch

Open to full-stack engineering roles, technical opportunities, and engineering collaborations.

PRIMARY CONTACT CHANNEL

iamshrihari13@gmail.com

GitHub Profile LinkedIn Profile

Download Official Resume (PDF)