Akshit Mittal

Full Stack Engineer

Greater Delhi Area3 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Delivered 6 technical products and 13+ client projects.
Led a team of 4 engineers through complete SDLC phases.
Expert in AI/NLP-powered enterprise solutions.

Stackforce AI infers this person is a Full-Stack Developer with expertise in FinTech and AI-driven platforms.

Contact

Skills

Core Skills

Full-stack DevelopmentProduct DevelopmentAi-nlpSoftware DevelopmentMiddleware SystemsData VisualizationDevopsContinuous Integration

Other Skills

.NET FrameworkAPI DevelopmentASP.NETAWSAgile MethodologiesAlgorithmsAmazon Web Services (AWS)AnsibleAttention to DetailBack-End Web DevelopmentBlockchainC#C++Cascading Style Sheets (CSS)Concept Generation

About

Radhey Radhey! I’m Akshit Mittal, a Full-Stack Developer with 2+ years of experience in product-based startups, specializing in Product Development and Technical Infrastructure Management. I’ve successfully delivered 6 technical products and 13+ client projects, including AI/NLP-powered enterprise solutions, while leading a team of 4 engineers through complete SDLC phases — from UAT to Production. Industries: Logistics | FinTech | Salesforce Cloud Domains: ERP Systems | AI-NLP Assistants | HRMS | Data Automation Middleware | CI/CD Deployment Pipelines. I bring a deep understanding of the software development lifecycle, thrive in startup-paced environments, and adapt quickly to evolving technologies. My interests include Distributed Systems and AI-driven platforms, and I believe in fostering collaborative energy within teams to achieve shared success. I’m looking to connect with teams and organizations that share a passion for innovation, scalability, and impact. Let’s connect and build something meaningful. — Akshit Mittal

Experience

3 yrs 7 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 8 mos

Current Experience

360 degree cloud technologies pvt. ltd.

Full Stack Engineer

Oct 2024 – Present · 1 yr 8 mos · Gurugram, Haryana, India · Hybrid

I Led the development of AI-NLP powered knowledge retrieval platform in MERN stack, that let enterprises query private data securely in real time using natural language. Integrated Langchain for Multiple LLMs support, OpenAI Embeddings, Vector DB Pinecone, RBAC and cron job for data sync. Achieved 400ms latency for query response and 90% user satisfaction rate through real-time role based AI responses.
Contributed to build a ERP web application for fintech and banking sector to enhance credit assessment analysis, by migrating data workflows to web using shared ecosystem of data tables. Implemented RESTful APIs in TypeScript NestJS framework and UI in React.js. I Optimized frontend performance by implementing backend-driven data buffers communication, reducing data table rendering time on the UI drastically by over 2× times.
Contributed to launch a full-cycle HealthTech logistics & diagnostics tracking platform. I implemented role-based dashboards for patients, riders, health facilities, and testing centers with live location tracking and digital test report delivery with unique sample identification ensuring 100% sample traceability. The product successfully handled 5K+ concurrent patient sessions and achieved 35% faster test turnaround time.
Handled the team of 4 engineers, overseeing their salesforce integration client projects from UAT and production.

MERNAI-NLPTypeScriptReact.jsRESTful APIsData Integration+2

Soft freight logic

Software Engineer

Nov 2022 – Oct 2024 · 1 yr 11 mos · New Delhi, Delhi, India · On-site

Independently led the client facing projects to build middleware systems in C# DotNet, that enable ETL based system data integration between CargoWise and clients application using EDI standards, deployed as Window Service for automation. Utilized file handling and message queues for seamless data transfer. Performed Technical documentation.
Contributed to the logistics based insightful application for live shipment cargo tracking. I designed dashboards in React.js to visualize logistics data from MySQL onto the application, improving data readability by 25%. Implemented real-time Transaction notification service using MQTT, Redis and NodeJS, and enabling the system to handle over 1.5 lakh messages per day with minimal failure rate.
Contributed to set up Jenkins CICD pipeline for automated builds, testing, versioning, and deployment of services to AWS EC2 servers. I integrated jenkin workflow plugins like Maven to improve the pipeline efficiency by 30%.

C#DotNetEDIReact.jsAWSJenkins+2