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Software Engineer with less than a year in AI/ML & Backend Development
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Highly motivated Computer Science and Engineering student with 10 months of hands-on experience in AI/ML, backend development, and system design. Proven ability to build robust, scalable systems and optimize performance in areas like RAG pipelines, key-value stores, and real-time voice agents. Proficient in Go, Python, C++, and various databases, with a strong foundation in core CS concepts. Eager to contribute expertise to challenging software and AI engineering roles.
Rajiv Gandhi Institute of Petroleum Technology
Bachelor of Technology · Computer Science and Engineering
August 1, 2023 – June 30, 2027
LFDT Hiero SDK
Open Source Contributor (C++, Systems)
October 1, 2025 – Present
India
AmberFlux EdgeAI Private Limited
AI Developer Intern
June 1, 2025 – August 1, 2025
Amethi, Uttar Pradesh, India
StrataKV
January 1, 2024 – Present
Built an embedded Log-Structured Merge (LSM)-inspired key-value store in Go with WAL-backed durability, immutable SSTables, tombstone-based deletion, and background compaction. Sustained 330K+ operations on an append-only MemTable + SSTable architecture, reclaiming 80% disk space and reducing storage fragmentation from 1945 files to 2 files during compaction. Reduced negative-lookup latency to 163µs by integrating Bloom Filters to eliminate unnecessary disk I/O, while sustaining WAL-backed recovery of 2GB workloads in 632ms. Deployed StrataKV as the primary execution-cache layer for the Blan Cloud Engine, using SHA-256 request hashing for O(1) cache lookups, removing the need for an external Redis dependency.
View ProjectVoice Agent Runtime
January 1, 2024 – Present
Built a real-time voice agent achieving sub-1.1s end-to-end latency (speech in to first audio byte) on 4GB VRAM hardware by streaming each sentence to TTS as it completes, instead of buffering the full LLM response. Cut LLM time-to-first-token from 1.5s to 0.5s by profiling and removing cold-start and language-autodetection overhead in the speech-to-text stage. Designed a hardware-constrained inference split (STT/TTS on CPU, LLM on GPU at 2.2GB VRAM via Ollama), enabling concurrent multi-stage inference within a 4GB VRAM budget with zero GPU contention.
View ProjectBlan Compiler
January 1, 2024 – Present
Built a C++17 Turing-complete interpreted language with a custom lexer and recursive-descent parser, and a memory-safe AST using std::unique_ptr and std::variant for dynamic type safety. Implemented a tree-walking evaluator supporting short-circuit logic and nested control flow, then extended the language into a deployable platform with a concurrent Go backend, JWT auth, snippet persistence, and Dockerized deployment.
View ProjectCompleted ML course
1Stop.ai in collaboration with IIT Roorkee
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from systems programming to AI and language design, indicates a broad interest in technology and a proactive learning attitude. Their involvement in open-source and academic achievements suggests a drive for continuous improvement and a good fit for a technically challenging and innovative culture. The target role of 'Software Engineer' aligns well with their demonstrated versatility across different technical domains.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and self-direction through numerous complex personal projects. Their open-source contribution and internship experience suggest an ability to collaborate and integrate into team environments. The detailed project descriptions indicate good communication of technical concepts.