Akash Kushwaha - Senior Software Engineer

About Me

Senior Software Engineer with 4 years of expertise building production-grade AI-powered enterprise applications. Specialized in developing scalable systems using Node.js, Python, React, and LLM integrations (OpenAI, LangChain, LangGraph). Led development of Agent Helper, serving 9 enterprise clients and processing 15K+ support cases monthly, achieving 75% improvement in agent productivity. Currently leading technical mentorship for 2 engineers while architecting multi-agent AI systems. Passionate about building intelligent, scalable systems that drive measurable business impact.

Key Achievements

9

Enterprise Clients

15K+

Support Cases Monthly

75%

Productivity Improvement

4 Years

Experience

Technical Skills

Backend

Node.js, Express.js, Python, REST APIs, Microservices Architecture, OAuth, Kafka, Docker

Frontend

React, Redux, JavaScript, TypeScript, Angular, Salesforce LWC

AI Applications

OpenAI (GPT-4, GPT-3.5), LangChain, LangGraph, Gemini, Azure OpenAI, N8N, Multi-Agent Systems, RAG, Prompt Engineering

Databases & Caching

MongoDB, PostgreSQL, MySQL, Redis

Cloud & DevOps

AWS, Docker, CI/CD Pipelines, Git, GitHub, GitLab

Platforms & Tools

Salesforce (LWC, Apex), Jira, Linux, MacOS, Windows

Work Experience

Senior Software Engineer

Grazitti Interactive (SearchUnify) - Panchkula

Oct 2025 - Present

Leading technical mentorship for 2 junior engineers, enabling them to deliver production-ready Node.js features independently
Architecting AI-powered solutions integrating LLM models with enterprise applications
Conducting code reviews and establishing engineering best practices across the team

Software Engineer

Grazitti Interactive (SearchUnify) - Panchkula

Jan 2022 - Oct 2025

Led end-to-end development of Agent Helper, an AI-powered customer support platform serving 9 enterprise clients
Architected and developed full-stack applications using Node.js, Python, React, Angular, and Salesforce LWC
Designed RESTful APIs and integrated third-party services including Salesforce, OpenAI, and Azure
Collaborated with cross-functional teams including ML engineers, UI/UX designers, product managers, and QA
Delivered monthly product releases with new features and performance enhancements
Provided ongoing technical support and consultation to clients for business requirements gathering

Featured Projects

Agent Helper

AI-powered customer support platform streamlining service operations for enterprise clients. Features collaboration tools, conversational AI bot, sentiment analysis, escalation prediction, and automated case responses with intelligent routing.

Key Contributions:

Designed and developed Agent Helper Salesforce LWC Based Application
Utilized Salesforce LWC, Salesforce APEX Classes, NodeJS, Express and interacted with ML APIs to process and get data from LLMs, MySQL
Collaborated with cross-functional teams, Machine Learning Engineering Team, including UI/UX designers, product managers, and QA engineers
Integrated Multi LLM models Support (OpenAI, Gemini, Azure) into Agent Helper
Participated in code reviews and contributed to the development of coding standards and best practices
Actively engaged with clients to understand their business needs and provide ongoing technical support

Impact:

95% increase in agent productivity
40% reduction in case resolution times
35% improvement in overall Customer Satisfaction (CSAT)

Escalation Predictor

ML-powered platform designed to reduce customer support escalations by predicting potential issues and enabling proactive resolution. The system integrates machine learning to analyze support cases, detect escalation risks, and provide real-time recommendations to support agents.

Key Contributions:

Designed and developed the full-stack Escalation Predictor application, handling both frontend and backend development
Utilized Python for backend processing and data analysis, Node.js for server-side functionality, AngularJS for UI development, and MongoDB for data storage
Collaborated with the Machine Learning team to integrate data pipelines, ensuring seamless interaction between the platform and ML models
Implemented intelligent escalation prediction algorithms that enhance agent decision-making
Contributed to coding standards, best practices, and system optimization to improve overall performance

Impact:

45% reduction in customer support escalations
Improved customer satisfaction and reduced support costs

Education

Panjab University

Master of Computer Applications (MCA)

July 2019 - June 2022

CSJM University

Bachelor of Science (Mathematics)

July 2015 - June 2018

Certifications

Infosys Certified Software Programmer

View Certificate →