Akhil S.

Software Engineer

United States5 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Architected high-scale AI systems for 50M+ users.
Implemented RAG solutions for medical data with high accuracy.
Led distributed teams in complex technical projects.

Stackforce AI infers this person is a SaaS-focused AI/ML engineer with expertise in distributed systems.

Contact

surapuramakhil@gmail.com LinkedIn

Skills

Core Skills

Ai/ml Production SystemsDistributed SystemsFull-stack DevelopmentSoftware EngineeringData Engineering

Other Skills

AzureAIRAGprompt engineeringTwiliocode reviewdata queriesvoice AIGPTNode.jsNext.jsPostgreSQLReactTypeScriptAgile methodologies

About

I architect high-scale AI and data systems that power millions of interactions. With 8+ years spanning software engineering, data engineering, and AI/ML, I specialize in building production-grade RAG solutions and distributed systems. 🔹 Recent Impact at Capex.AI: • Architected Azure serverless AI platform handling 50M+ monthly interactions with 99.99% uptime • Implemented RAG solutions achieving 95% groundedness score for medical data queries • Led distributed team of 5 engineers across multiple time zones 🔹 Technical Leadership: • Petabyte-scale data platforms (AWS, Spark, Airflow, Kafka) • AI/ML production systems (RAG, LLMs, LangChain, TensorFlow) • Full-stack development (Java, Python, TypeScript/React) 🔹 Open Source: • Maintainer of Auto Job Applier (22k+ GitHub stars, 50+ contributors) • Apache Superset & Apache Answer contributor MS Computer Science (GPA 3.78) | Florida State University

Experience

5 yrs 8 mos

Total Experience

1 yr 5 mos

Average Tenure

1 yr 5 mos

Current Experience

11 mos

The Apache Software Foundation

– Present

Capex, inc

Server Side Engineer

Dec 2024 – Present · 1 yr 5 mos · Remote

Architected Azure serverless AI platform handling 50M+ monthly interactions with 99.99% uptime
Implemented RAG (Retrieval-Augmented Generation) solution achieving 95% groundedness score for complex medical data queries
Optimized prompt engineering for Azure AI Search with semantic chunking
Led technical design for Twilio SMS & Meta Messenger channel integrations
Mentored junior engineers and established code review best practices

AzureAIRAGprompt engineeringTwiliocode review+2

Ai hawk foss

Open Source Maintainer

Nov 2024 – Jan 2025 · 2 mos

https://github.com/AIHawk-FOSS/Auto_Jobs_Applier_AI_Agent

First wave ai

Senior Full Stack Engineer

Jul 2024 – Aug 2024 · 1 mo · Remote

https://firstwaveai.com/• Pioneered voice AI sales agent using RAG, GPT, and Twilio, delivering personalized responses to boost conversion rates
Built Sales Hero service using Node.js, Next.js, PostgreSQL on DigitalOcean
Developed intuitive UI with React, TypeScript, and Tailwind CSS for campaign management
Integrated vector stores for real-time knowledge retrieval during sales calls

voice AIRAGGPTTwilioNode.jsNext.js+4

Raks group llc

Software Engineer

May 2024 – Jan 2025 · 8 mos

Florida state university

2 roles

Researcher / Full Stack Engineer

Promoted

Feb 2024 – Apr 2024 · 2 mos

Managed distributed team of 5 researchers (3 UAH & 1 Purdue) using Agile methodologies
Architected Vue.js Investigator web app for case management and analytics (Demo: https://youtu.be/UflzN2gIj18)
Designed high-performance Geospatial API in Java/Spring Boot for dynamic case assignment (Demo: https://youtu.be/uGeayWeji1Q)
Developed Python Flask AI/ML microservice for face detection and recognition using Deep Learning
Implemented face tracking in videos using Python, Bitmap index, and Deep Face algorithms

Agile methodologiesVue.jsJavaSpring BootPythonDeep Learning+2

Graduate Research Assistant / Software Engineer

May 2022 – Dec 2023 · 1 yr 7 mos · Tallahassee, Florida, United States

PythonSQLData EngineeringSoftware EngineeringJavaSpring Boot

Career break

Relocation

Jan 2022 – Apr 2022 · 3 mos

Kaleidofin

2 roles

Software Development Engineer II , Data Engineering

Promoted

Apr 2021 – Dec 2021 · 8 mos

Architected two petabyte-scale data engineering platforms: serverless (AWS Athena & S3) and Spark/Cassandra with Airflow orchestration
Achieved 99.1% reduction in pipeline execution time (8 hours → 4 minutes) through optimization
Built AWS Athena ETL pipelines for payments data extraction into Redshift data warehouse
Migrated 35+ legacy Python pipelines to new warehouse setup within one week without downtime
Created interactive dashboards in AWS QuickSight, boosting operations efficiency by 30%
Mentored team members through code reviews, pair programming, and design reviews

AWS AthenaS3SparkAirflowData EngineeringETL

Software Development Engineer

Jul 2019 – Mar 2021 · 1 yr 8 mos

JavaSpring BootAngularKubernetesSoftware Engineering

Chargebee

2 roles

Product Engineer

Jun 2018 – Jun 2019 · 1 yr

Enhanced core API router to support Non-Deterministic API patterns with '/' character in path parameters
Implemented rate limiting system using Redis, reducing server load by 30%
Boosted Sales, Marketing, and Support team performance by 30% through Splunk log data analysis
Developed real-time push notifications prototype using Java and persistent HTTP connections

JavaRedisSplunkSoftware Engineering

Product Engineering Intern

Jan 2018 – May 2018 · 4 mos

Indian institute of technology, madras

Student Ambassador

Jun 2017 – Jul 2017 · 1 mo · amritapuri, kerala

Formal representative of IMAD to various educational institutes in the region. we have to visit colleges and interact with both professors and students, actively promoted the course on social media and helped to spread awareness about the course. We achieved making IMAD the largest MOOC in India, with 127,000+ registrations.