Mr Sachin

Software Engineer

United Kingdom3 yrs 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Built RAG chatbot reducing lookup time by 35%.
Automated RPA-OCR system increasing applications by 5x.
Optimized SQL queries cutting execution time by 98%.

Stackforce AI infers this person is a Data & AI Engineer with expertise in building scalable systems for healthcare and technology sectors.

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Skills

Core Skills

Ai EngineeringData EngineeringData Analysis

Other Skills

AI AgentsAI Software DevelopmentAgentic AIAgile MethodologiesApache Spark MLApache Spark SQLArtificial Intelligence (AI)Association RulesAzure DatabricksBig Data AnalyticsChatGPTChatbot DevelopmentClassificationClusteringCrewAI

About

I’m a Software Engineer specializing in Data& AI Engineering, with 3.5+ years of experience building scalable data systems, production-ready pipelines, and applied LLM/NLP solutions. I work across the full engineering lifecycle from data ingestion and transformation to AI-driven automation and deployment. 🔹 What I Do I design and build end-to-end systems that combine- ► Software Engineering: Clean Architecture, Modular Design, Reproducibility, CI/CD ► Data Engineering: SQL Development, ETL/SSIS Pipelines, Data Modeling, Performance Tuning ► AI Engineering: LLM/RAG Systems, NLP Pipelines, Agentic AI Workflows, Evaluation Frameworks ► Cloud & Deployment: AWS (Bedrock, S3, EC2, ECR), Docker, Automation 🔹 Key Strengths ► Strong foundation in SQL, ETL, and Database Development & Optimization ► Ability to build robust data workflows in Python, SQL and SSIS ► Experience implementing ML, LLM-based RAG systems, Agents, and NLP solutions ► Proficient in AWS cloud, Containerization, and CI/CD pipelines ► Skilled at translating business requirements into scalable engineering solutions

Experience

3 yrs 4 mos

Total Experience

1 yr 8 mos

Average Tenure

Current Experience

Q3 technologies

Software Engineer (Data & BI)

Jan 2022 – Jan 2024 · 2 yrs · Gurugram · Hybrid

Q3 Technologies is a global IT services provider offering end-to-end custom technology solutions.
► Built RAG chatbot for chemical research insights, reducing lookup time by 35%.
► Developed RPA-OCR-RAG AI tender system, automating 80% tasks and 5x increasing applications.
► Enabled OpenAI-MySQL natural language queries for sales, cutting time by 60% on 50K+ records.
► Built ML model (83% accuracy) to flag delivery issues for quick-commerce client.
► Automated SQL + SSIS database migration for top power provider, cutting execution time by 98%.
► Built scalable application database + ETL for 1M+ records, speeding credit decisions by 90%.
► Increased sales by 85% via Python+ML insights for US healthcare and NZ food clients.
► Optimized SQL for jewellery firm, cutting query time by 65%.
► Led DB reviews, tech training, POCs on 5G, AI, Blockchain, Metaverse, etc.
► Managed interns and team of AI Research

RAG chatbotRPA-OCR-RAG AI tender systemOpenAI-MySQL natural language queriesML modelSQL + SSIS database migrationscalable application database + ETL+4

Ineuron.ai

Data Analyst Project Intern

Aug 2021 – Nov 2021 · 3 mos · Bangalore

iNeuron is a leading edtech company focused on making emerging tech education accessible.
► Analyzed 300+ patient records using Python & Power BI to enhance diagnostic decision-making.
► Created HLD/LLD, architecture, and wireframes to streamline analysis flow and reduce rework by 25%.

PythonPower BIHLD/LLDarchitecturewireframesData Analysis

Goalwit technologies

Software Engineer (Data)

Aug 2019 – Dec 2020 · 1 yr 4 mos · Delhi, India · On-site

Goalwit Technologies is an IT company delivering high-quality tech solutions, Including a proprietary matrimony product.
► Improved SQL query speed by 70%, Designed a scalable database for a high-growth matrimony product.
► Increased CRM accuracy by 40% using SQL & Python ETL pipelines for clean and unified user data.
► Reduced mismatch complaints by 27% by building a rule-based matchmaking system in SQL and Python.
► Increased profile completion by 23% using logistic regression to flag drop-offs on onboarding data.
► Improved match relevance by 53% analyzing user bios with NLP TF-IDF and cosine similarity in Python.

SQLPythonETLlogistic regressionNLPData Engineering