Chaitanya Sai Bommakal
Hyderabad
Summary
Complex problem-solver with analytical and driven mindset. Dedicated to achieving demanding development objectives according to tight schedules while producing impeccable code.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Software Engineer – AI/Backend
Nellsys Technologies Pvt Ltd
08.2023 - Current
- Designed AI job-matching engine using BERT/Mistral improving accuracy by 35%.
- Built microservices handling 10k+ daily transactions using Node.js/TypeScript.
- Deployed LLM inference pipelines reducing latency by 40%.
- Architected AWS workloads via EC2, Lambda, S3 reducing cloud cost by 30%.
- Automated ingestion + monitoring workflows through n8n cutting delays by 50%.
- Integrated semantic search using vector databases.
- Implemented OAuth2.0/JWT security across distributed services.
- Author of integration, load and unit test suites lowering regressions by 40%.
- Coordinated with other engineers to evaluate and improve software and hardware interfaces.
- Tested methodology with writing and execution of test plans, debugging and testing scripts and tools.
RPA Developer / Automation Engineer
TTEC Digital Analytics LLP
01.2022 - 05.2023
- Automated enterprise workflows using Automation Anywhere + Python improving efficiency 35%.
- Built AWS Lambda automations increasing throughput by 30%.
- Designed OCR + ML-based document extractor reducing manual processing by 50%.
- Implemented authentication (OAuth2/JWT) eliminating 80% unauthorized attempts.
- Optimized multi-step workflows saving 20+ hours weekly.
- Led Agile deliveries improving sprint velocity by 30%.
- Developed next generation integration platform for internal applications.
Education
B.Tech - Electronics Engineering
CMR College of Engineering & Technology
01.2019
Skills
- Python
- Nodejs,
- FastAPI,
- Expressjs,
- AWS,
- Azure,
- Docker,
- CI/CD,
- OAuth20, JWT,
- PostgreSQL,
- MongoDB,
- MySQL,
- n8n Automation
- JIRA
Certification
- ServiceNow Certified Application Developer (2019)
- Google Data Foundations (2022)
- Dell EMC Data Associate (2018)
PROJECTS (PERSONAL)
1. Semantic Search Engine using Embeddings
Tech: Python, Hugging Face, Sentence Transformers, FAISS, FastAPI
- Implemented Sentence-Transformers–based embeddings for semantic similarity search.
- Designed a FAISS vector index enabling low-latency retrieval across 10k+ documents.
- Developed FastAPI endpoints for indexing, embedding generation, and querying.
- Optimized memory usage and vector store performance, improving efficiency by 20%.
2. OCR + LLM Document Intelligence System
Tech: Python, Tesseract OCR, Hugging Face Transformers, LLMs
- Built an end-to-end OCR → LLM pipeline for structured document extraction.
- Designed prompt templates for entity extraction, summarization, and classification.
- Achieved 92% field extraction accuracy across invoices, IDs, and forms.
- Improved OCR pre-processing (denoising, thresholding), increasing clarity/signals significantly.
3. n8n Workflow Automation Suite
Tech: n8n, Node.js, REST APIs, Cloud Functions
- Created 6+ automation workflows for ETL, notifications, LLM triggers, and reporting.
- Developed custom n8n nodes supporting async REST API orchestration.
- Reduced manual effort by 80% through scheduled and event-driven flows.
- Added robust auto-retry logic, error propagation, and monitoring alerts.
4. Scalable REST API Platform
Tech: Node.js, Express.js, MongoDB, JWT
- Developed a modular backend with controller–service–middleware architecture.
- Implemented JWT authentication, rate-limiting, request logging, and global error handling.
- Optimized database queries and in-memory caching, lowering response times to .
- Integrated CI checks for linting, unit testing, and code coverage enforcement.
5. CI/CD Pipeline Template
Tech: Docker, GitHub Actions, AWS EC2
- Designed reusable CI/CD templates automating build → test → deploy workflows.
- Containerized services using Docker for consistent, reproducible environment setups.
- Enabled zero-downtime deployments using rolling update strategies on EC2.
- Reduced deployment time from 20 minutes to under 3 minutes with parallelized steps.
Timeline
Software Engineer – AI/Backend
Nellsys Technologies Pvt Ltd
08.2023 - Current
RPA Developer / Automation Engineer
TTEC Digital Analytics LLP
01.2022 - 05.2023
B.Tech - Electronics Engineering
CMR College of Engineering & Technology